Quarterly Survey of Financial Statements (QSFS): Weighted Asset Response Rate - Q4 2018 to Q4 2019

Weighted Asset Response Rate
Table summary
This table displays the results of Weighted Asset Response Rate. The information is grouped by Release date (appearing as row headers), 2018 Q3 and Q4, and 2019 Q1, Q2 and Q3 calculated using percentage units of measure (appearing as column headers).
Release date 2018 2019
Q4 Q1 Q2 Q3 Q4
Quarterly (percentage)
February 25, 2020 83.5 85.2 81.9 75.4 62.4
November 26, 2019 83.5 84.6 80.1 64.9 ..
August 23, 2019 83.5 81.9 65.2 .. ..
May 24, 2019 83.5 67.5 .. .. ..
February 26, 2019 60.0 .. .. .. ..
.. not available for a specific reference period
Source: Quarterly Survey of Financial Statements (2501)

Security Video Surveillance in Statistics Canada’s Secure Access Points - Privacy impact assessment summary

Introduction

Statistics Canada is modernizing its methods of data access to improve its service to users of Statistics Canada data. The goal of modernization is to fully realize the potential of the data holdings created for the public good and increase collaboration and partnerships between data users and providers while ensuring that all data assets are protected against unauthorized use and disclosure.

Objective

This privacy impact assessment identifies and explores privacy, confidentiality and security issues associated with the use of video surveillance monitoring (camera monitoring) in secure facilities designed for the purposes of data access and makes recommendations for issue resolution or mitigation.

Description

Statistics Canada is planning on expanding controlled access to anonymized microdata for statistical research projects, by establishing Secure Access Points on the premises of federal, provincial, territorial, and municipal governments, universities, and other organizations. Each Secure Access Point is a secure Statistics Canada facility that meets Statistics Canada's departmental security standards for data access, including controlled access monitoring. Any data stored on these premises remain under the care and control of Statistics Canada and subject to the confidentiality provisions of the Statistics Act.

In each Secure Access Point, video surveillance cameras will be used to monitor activity and access. Only Statistics Canada employees and deemed employees (individuals providing statistical services to Statistics Canada under contract or written arrangement) will have access to the microdata within Secure Access Points.

Statistics Canada's use of the camera monitoring includes making recordings of activities in the secure designated room to offer enhanced protection of employees and assets.

Risk Area Identification and Categorization

The PIA also identifies the risk areas and categorizes the level of potential risk (level 1 representing the lowest level of potential risk and level 4, the highest) associated with the collection and use of personal information of employees.

  • Type of program or activity – Level 2: Administration of program or activity and services.
  • Type of personal information involved and context – Level 1: Only personal information, with no contextual sensitivities, collected directly from the individual or provided with the consent of the individual for disclosure under an authorized program.
  • Program or activity partners and private sector involvement – Level 3: With other institutions or a combination of federal, provincial or territorial, and municipal governments.
  • Duration of the program or activity – Level 3: Long-term (ongoing) program.
  • Program population – Level 1: The program's use of personal information for internal administrative purposes affects certain employees (or deemed employees).
  • Personal information transmission – Level 3: The personal information is transferred to a portable device (i.e., USB key, diskette, laptop computer), transferred to a different medium or is printed.
  • Technology and privacy: The new project involves the implementation of a new electronic system to support the program but does not involve the implementation of new technologies.
  • Privacy breach: There is a very low risk of a breach of some of the personal information being disclosed:
    a) The impact on the employee would be minimal as it would only divulge a digital recording of the individual taken in the Secure Access Point.
    b) The impact on the institution would be minimal due to the low sensitivity of the information.

Conclusion

This assessment concludes that, with the existing Statistics Canada safeguards, any remaining risks are either negligible or are such that Statistics Canada is prepared to accept and manage the risk.

Annual Non-Store Retail Survey: CVs for operating revenue - 2018

Annual Non-store Retail Survey - CVs for operating revenue - 2017
Geography CVs for operating revenue
percent
Canada 0.74
Newfoundland and Labrador 0.10
Prince Edward Island 0.03
Nova Scotia 0.38
New Brunswick 0.36
Quebec 1.05
Ontario 1.45
Manitoba 0.63
Saskatchewan 0.81
Alberta 0.42
British Columbia 0.38
Yukon 0.00
Northwest Territories 0.00
Nunavut 0.00

Statement outlining results, risks and significant changes in operations, personnel and program

A) Introduction

Statistics Canada's mandate

Statistics Canada ("the agency") is a member of the Innovation, Science and Industry portfolio.

Statistics Canada's role is to ensure that Canadians have access to a trusted source of statistics on Canada that meets their highest priority needs.

The agency's mandate derives primarily from the Statistics Act. The Act requires that the agency collect, compile, analyze and publish statistical information on the economic, social, and general conditions of the country and its people. It also requires that Statistics Canada conduct the census of population and the census of agriculture every fifth year, and that it protect the confidentiality of the information with which it is entrusted.

Statistics Canada also has a mandate to co-ordinate and lead the national statistical system. The agency is considered a leader, among statistical agencies around the world, in co–ordinating statistical activities to reduce duplication and reporting burden.

More information on Statistics Canada's mandate, roles, responsibilities and programs can be found in the 2019–2020 Main Estimates and in the Statistics Canada 2019–2020 Departmental Plan.

The Quarterly Financial Report:

  • should be read in conjunction with the 2019–2020 Main Estimates;
  • has been prepared by management, as required by Section 65.1 of the Financial Administration Act, and in the form and manner prescribed by Treasury Board of Canada Secretariat;
  • has not been subject to an external audit or review.

Statistics Canada has the authority to collect and spend revenue from other federal government departments and agencies, as well as from external clients, for statistical services and products.

Basis of presentation

This quarterly report has been prepared by management using an expenditure basis of accounting. The accompanying Statement of Authorities includes the agency's spending authorities granted by Parliament and those used by the agency consistent with the Main Estimates for the 2019–2020 fiscal year. This quarterly report has been prepared using a special purpose financial reporting framework designed to meet financial information needs with respect to the use of spending authorities.

The authority of Parliament is required before moneys can be spent by the Government. Approvals are given in the form of annually approved limits through appropriation acts or through legislation in the form of statutory spending authority for specific purposes.

The agency uses the full accrual method of accounting to prepare and present its annual departmental financial statements that are part of the departmental results reporting process. However, the spending authorities voted by Parliament remain on an expenditure basis.

B) Highlights of fiscal quarter and fiscal year-to-date results

This section highlights the significant items that contributed to the net increase in resources available for the year, as well as actual expenditures for the quarter ended December 31.

Comparison of gross budgetary authorities and expenditures as of December 31, 2018, and December 31, 2019, in thousands of dollars
Description for Chart 1: Comparison of gross budgetary authorities and expenditures as of December 31, 2018, and December 31, 2019, in thousands of dollars

This bar graph shows Statistics Canada's budgetary authorities and expenditures, in thousands of dollars, as of December 31, 2018 and 2019:

  • As at December 31, 2018
    • Net budgetary authorities: $524,082
    • Vote netting authority: $120,000
    • Total authority: $644,082
    • Net expenditures for the period ending December 31: $390,990
    • Year-to-date revenues spent from vote netting authority for the period ending December 31: $60,963
    • Total expenditures: $451,953
  • As at December 31, 2019
    • Net budgetary authorities: $562,031
    • Vote netting authority: $120,000
    • Total authority: $682,031
    • Net expenditures for the period ending December 31: $426,482
    • Year-to-date revenues spent from vote netting authority for the period ending December 31: $59,228
    • Total expenditures: $485,710

Chart 1 outlines the gross budgetary authorities, which represent the resources available for use for the year as of December 31.

Significant changes to authorities

Total authorities available for 2019–2020 have increased by $37.9 million, or 5.9%, from the previous year, from $644.1 million to $682.0 million (Chart 1). This net increase is mostly the result of the following:

  • An increase of $22.4 million for the 2021 Census of Population program and $3.8 million for the 2021 Census of Agriculture program for new cyclical funding received to cover planning and developmental activities;
  • An increase of $13.0 million for negotiated salary adjustments;
  • An increase of $11.7 million for Renewing and Modernizing Statistics Canada, an initiative approved in 2018–2019 which will change the way the federal government collects, uses and shares data while ensuring the privacy of Canadians remains protected;
  • An increase of $6.3 million for Workload Migration, an initiative approved in 2018–2019 which will migrate the information technology infrastructure and applications to the Cloud;
  • An increase of $3.2 million for the Survey of Financial Security and Annual Household Wealth Tables;
  • A decrease of $9.8 million for the Statistical Survey Operations pay equity settlement, marking the near completion of the pay equity settlement;
  • A decrease of $6.2 million for the 2016 Census of Population program and $2.2 million for the 2016 Census of Agriculture program due to the cyclical nature of funding that is winding down;
  • A decrease of $4.2 million for the reimbursement of eligible paylist expenditures.

The variance is also explained by the reception of authorities at different quarters throughout the year.

In addition to the appropriations allocated to the agency through the Main Estimates, Statistics Canada also has vote net authority within Vote 1, which entitles the agency to spend revenues collected from other federal government departments, agencies, and external clients to provide statistical services. The vote netting authority is stable at $120 million when comparing the third quarter of fiscal years 2018–2019 and 2019–2020.

Significant changes to expenditures

Year-to-date net expenditures recorded to the end of the third quarter increased by $35.5 million, or 9.1% from the previous year, from $391.0 million to $426.5 million (see Table A: Variation in Departmental Expenditures by Standard Object).

Statistics Canada spent approximately 75.9% of its authorities by the end of the third quarter, compared with 74.6% in the same quarter of 2018–2019.

Table A: Variation in Departmental Expenditures by Standard Object (unaudited)
Table summary: This table displays the variance of departmental expenditures by standard object between fiscal 2018-2019 and 2019-2020. The variance is calculated for year to date expenditures as at the end of the third quarter. The row headers provide information by standard object. The column headers provide information in thousands of dollars and percentage variance for the year to date variation.
Departmental Expenditures Variation by Standard Object: Q3 year-to-date variation between fiscal year 2018–2019 and 2019–2020
$'000 %
(01) Personnel 31,546 7.9
(02) Transportation and communications 400 3.7
(03) Information 727 16.7
(04) Professional and special services -307 -1.6
(05) Rentals 4,976 47.4
(06) Repair and maintenance 315 137.0
(07) Utilities, materials and supplies -172 -21.8
(08) Acquisition of land, buildings and works -468 -87.0
(09) Acquisition of machinery and equipment 1,059 47.8
(10) Transfer payments -   -
(12) Other subsidies and payments -4,319 -94.0
Total gross budgetary expenditures 33,757 7.5
Less revenues netted against expenditures:
Revenues -1,735 -2.9
Total net budgetary expenditures 35,492 9.1
Note: Explanations are provided for variances of more than $1 million.

Personnel: The increase is mainly due to the ratification of collective agreements, retroactive salary payments and an overall increase in the agency's activities.

Rentals: The increase is mainly due to timing differences in the payment of various software licences and maintenance fees, new annual software renewal costs, and a fee for the use of additional software licences.

Acquisition of machinery and equipment: The increase is mainly due to the purchase of telecommunication equipment and furniture, as well as interviewer collection tablets.

Other subsidies and payments: The decrease is mainly due to the majority of non-salary payments related to the Statistical Survey Operations pay equity settlement having been paid last fiscal year.

Revenues: The decrease is primarily the result of timing differences in the receipt of funds for scheduled key deliverables.

The variance is also explained by timing differences of payments in this period compared to last fiscal year.

C) Risks and uncertainties

Statistics Canada is currently expending significant effort in modernizing its business processes and tools, in order to maintain its relevance and maximize the value it provides to Canadians. As a foundation piece for some of these efforts, the agency is working in collaboration with Shared Services Canada and Treasury Board of Canada Secretariat, Office of the Chief Information Officer, to ensure the agency has access to adequate information technology services and support to attain its modernization objectives and successfully transition its infrastructure and applications to the cloud. Activities and related costs are projected based on various assumptions that can change, depending on the nature and degree of work required to accomplish the initiatives. Risks and uncertainties are being mitigated by the agency's strong financial planning management practices and business architecture.

D) Significant changes to operations, personnel and programs

There was an important reorganization at the agency, where two new fields, Strategic Engagement and Communications Field and the Digital Solutions Field have been created. This reorganization will help the agency better meet data user needs and expectations, augment efficiencies, enhance integration between subject matters, and increase our value as a world-leading National Statistical Organization. These changes are significant, and will be approached with a phased implementation strategy.

Other minor changes in program activities with financial implications include:

  • The Census program is ramping down operations from the 2016 Census while ramping up for the 2021 Census which is in the advanced planning and testing phase. As such, expenditures for this program are increasing.
  • New initiatives announced in the Budget 2018 are ramping up and activities related to those initiatives are on track.

Approval by senior officials

Approved by:

Anil Arora, Chief Statistician
Kathleen Mitchell, Acting Chief Financial Officer
Ottawa, Ontario
Signed on: February 26, 2020

Appendix

Statement of Authorities (unaudited)
Table summary: This table displays the departmental expenditures by standard object for the fiscal year 2019-2020. The row headers provide information by standard object for expenditures and revenues. The column headers provide information in thousands of dollars for planned expenditures for the year ending March 31; expended during the quarter ended December 31; and year to date used at quarter-end 2019-2020.
  Fiscal year 2019–2020 Fiscal year 2018–2019
Total available for use for the year ending March 31, 2020Tablenote 1 Used during the quarter ended December 31, 2019 Year-to-date used at quarter-end Total available for use for the year ending March 31, 2019Tablenote 1 Used during the quarter ended December 31, 2018 Year-to-date used at quarter-end
in thousands of dollars
Vote 1 — Net operating expenditures 489,280 127,985 372,887 453,837 104,847 343,869
Statutory authority — Contribution to employee benefit plans 72,751 17,865 53,595 70,245 15,707  47,121
Total budgetary authorities 562,031 145,850 426,482  524,082 120,554 390,990
Tablenote 1

Includes only Authorities available for use and granted by Parliament at quarter-end.

Return to tablenote 1 referrer

Departmental Budgetary Expenditures by Standard Object (unaudited)
Table summary: This table displays the departmental expenditures by standard object for the fiscal year 2018-2019. The row headers provide information by standard object for expenditures and revenues. The column headers provide information in thousands of dollars for planned expenditures for the year ending March 31; expended during the quarter ended December 31; and year to date used at quarter-end 2018-2019.
  Fiscal year 2019–2020 Fiscal year 2018–2019
Planned expenditures for the year ending March 31, 2020 Expended during the quarter ended December 31, 2019 Year-to-date used at quarter-end Planned expenditures for the year ending March 31, 2019 Expended during the quarter ended December 31, 2018 Year-to-date used at quarter-end
in thousands of dollars
Expenditures:
(01) Personnel 574,658 154,217 429,761 527,128 137,111 398,215
(02) Transportation and communications 18,881 4,450 11,347 21,798 4,692 10,947
(03) Information 9,161 1,070 5,088 10,911 1,782 4,361
(04) Professional and special services 43,048 6,205 19,251 36,128 9,314 19,558
(05) Rentals 12,998 4,248 15,481 15,325 865 10,505
(06) Repair and maintenance 678 306 545 1,601 65 230
(07) Utilities, materials and supplies 4,072 321 617 3,333 323 789
(08) Acquisition of land, buildings and works 625 67 70 223 392 538
(09) Acquisition of machinery and equipment 14,085 2,118 3,274 13,692 -1,647 2,215
(10) Transfer payments 100 - - 100 - -
(12) Other subsidies and payments 3,725 -3 276 13,843 1,546 4,595
Total gross budgetary expenditures 682,031 172,999 485,710 644,082 154,443 451,953
Less revenues netted against expenditures:
Revenues 120,000 27,149 59,228 120,000 33,889 60,963
Total revenues netted against expenditures 120,000 27,149 59,228 120,000 33,889 60,963
Total net budgetary expenditures 562,031 145,850 426,482 524,082 120,554 390,990

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

CVs for Total Sales by Geography
Table summary
This table displays the results of CVs for Total Sales by Geography. The information is grouped by geography (appearing as row headers), Month, 2018012, 201901, 201902, 201903, 201904, 201905, 201906, 201907, 201908, 201909, 201910, 201911 and 201912 (appearing as column headers), calculated using percentage unit of measure (appearing as column headers).
Geography Month
201812 201901 201902 201903 201904 201905 201906 201907 201908 201909 201910 201911 201912
percentage
Canada 0.63 0.69 0.63 0.57 0.54 0.56 0.60 0.60 0.57 0.59 0.56 0.58 0.61
Newfoundland and Labrador 1.35 2.14 1.84 2.36 2.04 2.16 1.79 2.45 2.48 3.13 3.19 2.76 3.03
Prince Edward Island 3.46 3.11 2.65 3.37 3.12 0.57 1.99 6.84 4.93 4.01 4.53 4.04 3.28
Nova Scotia 2.49 2.42 3.49 3.37 2.42 2.90 2.65 4.67 4.63 2.77 2.94 3.46 3.50
New Brunswick 1.48 1.66 1.18 1.78 1.96 1.69 2.09 2.27 1.30 1.56 1.87 1.51 1.46
Quebec 1.17 1.21 1.14 1.01 1.26 1.07 1.48 1.35 1.41 1.32 1.26 1.37 1.18
Ontario 1.15 1.29 1.11 1.00 0.93 0.98 1.00 1.03 0.93 1.04 0.96 0.99 1.03
Manitoba 2.09 2.03 1.76 1.58 1.68 1.52 1.62 2.43 2.74 2.18 2.42 2.06 2.11
Saskatchewan 1.29 1.74 2.34 1.74 1.59 1.72 1.62 1.39 1.92 1.58 1.59 1.69 1.58
Alberta 1.72 2.01 1.80 1.81 1.25 1.42 1.39 1.31 1.23 1.18 1.23 1.22 1.27
British Columbia 1.64 1.66 1.68 1.49 1.52 1.60 1.65 1.65 1.55 1.61 1.62 1.63 1.96
Yukon Territory 4.18 3.78 3.69 3.65 3.09 4.72 4.89 4.04 4.89 5.91 7.04 6.07 6.72
Northwest Territories 0.89 0.85 0.73 1.03 0.80 0.96 1.03 0.99 0.91 1.00 1.46 1.58 0.90
Nunavut 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00

Annual Retail Trade Survey: CVs for operating revenue - 2018

Annual Retail Trade Survey: CVs for operating revenue - 2018
Table summary
This table displays the results of Annual Retail Trade Survey: CVs for operating revenue - 2018. The information is grouped by Geography (appearing as row headers), CVs for operating revenue and percent (appearing as column headers).
Geography CVs for operating revenue
percent
Canada 0.17
Newfoundland and Labrador 0.46
Prince Edward Island 0.37
Nova Scotia 0.34
New Brunswick 0.32
Quebec 0.31
Ontario 0.36
Manitoba 0.53
Saskatchewan 0.27
Alberta 0.50
British Columbia 0.25
Yukon 0.34
Northwest Territories 0.25
Nunavut 0.22

Video - Adding Fields and Editing Feature Attributes with the Field Calculator

Catalogue number: Catalogue number: 89200005

Issue number: 2020008

Release date: February 19, 2020

QGIS Demo 8

Adding Fields and Editing Feature Attributes with the Field Calculator - Video transcript

(The Statistics Canada symbol and Canada wordmark appear on screen with the title: "Adding Fields and Editing Feature Attributes with the Field Calculator")

So in today's demo we'll use the Field Calculator to edit fields and feature attributes, including those storing geometric, numeric and text information. The Field Calculator is used to add and update fields or edit attributes of selected features. Like the Select by Expression tool, introduced in the previous demo, it uses expression syntax. Today we'll use the two tools in conjunction to select and update large selections of features.

So let's start by adding some spatial measures to our subset and created datasets.

So we can select them in the Layers Panel, and click the Field Calculator icon on the Attribute Toolbar. Since we are adding a new field, much like when we added the Fields to our AOI layer, we need to specify a field name, the field type as well as provide the parameters for the number of characters it stores. The same drop-downs from the Select by Expression tool are also found in the Field Calculator which we can use to help create our expressions. In the Geometry drop-down we can see the general expression syntax, which tends to be dollar sign followed by the measure of interest. So if we wanted to add coordinate information to a point dataset we could use $x or $y or for our polygons $perimeter and $area.

The Preview shows the output, which is calculated in Map units making the projected coordinate system with units in meters applied to these layers helpful in adding these measures.

To alter the units just apply an appropriate conversion factor, in this case divided by 10000 for area in hectares. We'll also copy the Expression and now repeating with our AOI layer- we can also opt to Update Existing Fields – selecting the field to update from the drop-down – meaning we can finally populate the area in hectares field we added when we first created the AOI layer – pasting the expression and clicking OK.

It is important to note that these measures are not automatically updated if the geometry of a layer is edited. So if we split a polygon or clipped it we would have to update these fields using the Field Calculator and once again paste in the appropriate expression. We can then Save the Edits and turn the toggle editor off.

Now let's take a look at updating large feature selections using the road_segment_1 layer. First we'll change the projection using the Reproject Layer tool. Much like the Save Vector Layer As box it can be used to transform a layer to a new projection, and can be applied as a batch process to multiple layers. So we'll change the coordinate reference system to UTM Zone 14N and use a temporary file for the output.

Then using our Interactive Selection tool, with our AOI layer highlighted, we'll select the merged Census Division feature, which we'll use to clip the reprojected road segments. So within the tool Reprojected is selected as the Input and the Overlay layer is the AOI. The Overlay layer is restricted to polygon vectors. And we'll also check Selected Features Only, so that only the road segments overlapping with the selected AOI feature are retained. This can be used to standardize the extent of analysis for multiple layers, and in this case, reduce processing times with editing the attributes of our road features. I saved the file in our Intro Demo folder, and called it CPRoads for Clipped Projected Roads.

So now we'll use the Select by Expression and Field Calculator sequentially to isolate and update the attributes for large selections of features in the Road Segments layer. So the road classes were interpreted using the CanVEC catalogue and Road Class field shown in the downloading data from the Federal Geospatial Platform demo.

We'll enter three expressions together and the remaining expressions are found in the video description. The first we'll enter is road classes greater than 309 AND less than 312 – for selecting within a value range which corresponds with our Highway features. Clicking select - 10000 features are returned.

Since this is the first selection we have to create a New Field, which we'll call Class, specifying it as a Text field type with a length of 50. As seen, when there are selected features by default the Only Update Selected Features box is checked. To update all features we could simply uncheck the box.

Remembering our syntax rules from the Selecting by Attributes demo we need to apply a single quotes around text-based entries.

Back in the Select by Expression tool let's populate another class, changing values to greater than 311 and less than 315. So 25000 features were selected. Since we have already created our field we will use Update Existing field and scroll down to the bottom of the list and selecting our Class field. Our current selection corresponds to local classes.

Now let's create one final selection - changing to road_class to = 309, which corresponds with Collector roads. Once again in the Field Calculator, we'll select the field to update and enter the corresponding attribute. The remaining expressions are provided in the video description – which can be used to populate the remainder of the field.

So now we'll use fields in the CP_Roads layer to update the Speed Limit field which is currently empty. The first one is simple entering "is_trans_c" = 11 – meaning is TransCanada Highway is TRUE. In the Calculator click Update and find the Speed_Rest Field. So the limit for the TransCanada in Manitoba is 110 kilometres an hour and we recall numbers can be entered as is.

The next few expressions are slightly more complex, since we are using a variety of fields to approximate speed restrictions. So we can use the Official S field, which contains the full name and type of the road, and add LIKE wildcard way to isolate Highways, Freeways and Expressways. But we want to avoid selecting other roads containing WAY - like Stoneway or Wallford Way - so we will also specify of_street_6 which is the Road Type and use the IN operator so to avoid repeating the field for each attribute. We'll scroll through the unique entries and add Highway, comma Freeway. Had we left the Road Segments unclipped we would also need to add Expressway. And finally to avoid overwriting the Speed Limits we've already populated with previous expressions we'll use AND "speed_rest" IS NULL in all subsequent expressions. In the Field Calculator we'll add the corresponding speed limit, defaulting to 100 kilometres an hour.

Now we can remove the components except Speed Rest IS NULL from our previous expression, and use the Official 2 field which provides a general indication of the road settings. Once again we'll use the IN operator and add Unorganized, Reserve and Rural Municipality. Then we'll use the road_class field, specifying greater than 307 and less than 310, to isolate non-urban roads that are collector or arterial. Once the selection is created, we'll enter an average speed limit of 80 kilometres per hour in the Field Calculator.

As with our Class field, the remaining expressions and associated speed limits to update in the Field Calculator are found in the video description, along with an explanation of the expressions.

The final thing I'd like to show is adding two final fields. The first is the length of the road segments in kilometers. I recommend populating both these fields fully prior to applying these calculations to avoid repeating these procedures later, as we are only currently updating the selected features. So applying the skills from earlier in the video the syntax is $length, and divided by 1000 for units in kilometres.

Now we'll add a field called TimeMin, which we will use the Length and Speed Limit fields to calculate. Speed equals distance over time, so time equals distance over speed, dividing our Length KM field by the speed_rest field. And left as-is the output is currently in hours, so we will just multiply by 60 to calculate the time to traverse each road segment in Minutes. Now ensure to Save Edits and Toggle the Editor off.

Congratulations! You should now feel confident using the Field Calculator to add and update fields and edit attributes for large feature selections in vector datasets. You should also feel comfortable applying expression syntax to perform these procedures – such as applying the appropriate operators and syntax for different attributes, and using multiple fields to isolate features by criteria of interest. We'll continue expanding these syntax skills throughout the tutorials. Additionally you should feel comfortable adding geometric, numeric and text attributes, and derive new information using the Field Calculator. Apply these skills to datasets of interest to you.

In the next demo we will discuss procedures for visualizing vector data specifically focusing on the Symbology and Labels tabs in the Layer Properties box to visualize different fields. We'll use the CPRoads layer from this tutorial to demonstrate rule-based visualizations as well.

(The words: "For comments or questions about this video, GIS tools or other Statistics Canada products or services, please contact us: statcan.sisagrequestssrsrequetesag.statcan@canada.ca" appear on screen.)

(Canada wordmark appears.)

CVs for operating revenue - Management, scientific and technical consulting services - 2018

Management, scientific and technical consulting services: CVs for operating revenue - 2018
Table summary
This table displays the results of Management, scientific and technical consulting services: CVs for operating revenue - 2018. The information is grouped by Geography (appearing as row headers), CVs for operating revenue and percent (appearing as column headers).
Geography CVs for operating revenue
percent
Canada 0.01
Newfoundland and Labrador 0.03
Prince Edward Island 0.02
Nova Scotia 0.03
New Brunswick 0.04
Quebec 0.03
Ontario 0.02
Manitoba 0.04
Saskatchewan 0.06
Alberta 0.03
British Columbia 0.03
Yukon Territory 0.06
Northwest Territories 0.04
Nunavut 0.00

Video - Selecting Features by Attributes in QGIS

Catalogue number: Catalogue number: 89200005

Issue number: 2020007

Release date: February 18, 2020

QGIS Demo 7

Selecting Features by Attributes in QGIS - Video transcript

(The Statistics Canada symbol and Canada wordmark appear on screen with the title: "Selecting Features by Attributes in QGIS")

Hello everyone. Today we'll introduce the attribute-based selection tools, which are used to select features with common entries like classes, categories or value ranges within specified fields. They help select and sub-set data by specific criteria, whereas the interactive selection tools explored earlier help select by areas of interest. Specifically we'll cover: The Select by Value and Expression tools, covering general Expression syntax for the latter. Then we'll export our selection to a new layer, demonstrating how to subset datasets by attributes of interest.

So the attribute selection tools are found beside the interactive tools on the Attribute Toolbar and also default for the selected layer in the Layers panel.

Let's start with the Select by Value tool using the Grain Elevators layer. This tool is the easier of the two to use as it does not require expression syntax, but is best suited to creating simple selections.

So, fields are listed on the left, attributes of interest can be specified in the centre and the operators applied to create the selection are chosen from the drop-downs on the right.

We'll start with a simple selection isolating grain elevators in British Columbia – with 13 returned features.

We could add additional criteria as desired, such as specifying only elevators with railways operated by CN, that are Terminal elevators, with a capacity in metric tons greater than 50000. Now only 5 features are selected.

If we want to use a field more than once, such as selecting features within or outside a value range we can remove the other parameters, and re-select, then simply change the value and operator and expand the selection options by clicking the drop-down – and in this case clicking Add to Current Selection. So, these additional selection options facilitate isolating features that match your criteria of interest.

However, the Select by Expression tool provides much more flexibility in using multiple criteria or repeating a specific field. So, let's explore the tool now using the Census Subdivision layer. Expressions are written in an SQL-like syntax and are used in multiple tools. Don't worry if you have no previous experience – we'll cover the main rules as we work through some examples.

So expressions are written on the left-hand side of the tool, while the centre column can be used to help construct queries. If we click a specific function of interest, the format, components and a sample of the expression are provided on the right.

Expanding the Fields and Values drop-down we can select a field from our dataset, and click All Unique to return the distinct attributes from within that Field. To add them to the expression we can just double left-click. So fields are double-quoted and text-based attributes are single quoted within expression syntax. Scrolling down to the Operators drop-down we can select the appropriate operator – in this case LIKE for text-based entries. As you get more comfortable you can begin to write these expressions from the keyboard.

So, let's explore some additional expressions using the Census Division layer.

So we could use a Wildcard to isolate features with some overlap in their attributes. The % sign is a wildcard meaning any characters of any length - in this case returning all provinces and territories beginning with the letter N.

If we wanted to define the criteria that is not of interest, which is sometimes easier than specifying all the criteria that are - we could just add NOT in front of LIKE, which toggles our selected features. In this case we could have also used the Invert Feature Selection for the same results.

The equivalent of these operators for numeric attributes would be the equal sign (=) and exclamation mark equal sign (!=) for not equals.

So, now let's explore numeric-based expressions using the Unique Census Division identifier field, such as selecting features within or outside of specified ranges – in this case greater than 2000 and less than 4000.

So as you can see, numbers can be entered as-is and the Field Name is repeated for each expression component even when it is the same field. So here we selected all divisions within Ontario and Québec.

Now let's switch the operator to isolate features outside of the range, similar to the selection we created with the grain elevators at the beginning of the demo. No features are selected, and this is because the unique identifier cannot simultaneously be less than 2000 and greater than 4000. In this case we would need to use the OR operator, which is used to select outside of value ranges or additional criteria that are not inherently mutually inclusive. So, think critically about the applied operator and its influence on which features are returned.

We can also use brackets to compartmentalize different components of an expression, such as combining the AND and OR operators when creating more advanced expressions. So, we'll switch 4000 to 5000 and add another component specifying AND less than 6000. Here we've returned the divisions on the Atlantic and Pacific Coasts.

Finally we can also include different fields within the same expression. In this case adding Census Division Name like Division wildcard, which will return any Census Divisions whose names begin with the word Division.

So as you can see the Select by Expression tool offers a lot more flexibility and capabilities in creating advanced feature selections, enabling the repeated use of a specific field or multiple fields and attributes being incorporated when creating the selection.

Now, the final thing I'd like to discuss is exporting our selection in our Census Subdivision layer to a new layer - also known as sub-setting. To export our selected features, we can just right-click, go to Export and – hit Save Selected Features As. This checks the Save Only Selected box within the Save Vector Layer as box. Sub-setting helps remove peripheral features - reducing storage space and processing times. The Save Layer As box can also be used to permanently save temporary layers, change the coordinate reference system or the file format of a vector.

Here we'll change the coordinate reference system to UTM Zone 14, the same we used when creating our AOI polygon in the previous demo.

We'll also provide the output filename and directory. Using a distinctive file naming scheme can help organize and quickly find files. Use a scheme that's most intuitive for you. My preference is to apply prefixes to distinguish processes applied to datasets, as they are listed alphabetically in the Browser panel. Here, I'll call the subset layer .pmb-csd for projected Manitoba census subdivisions.

Click OK. And this will save our subset dataset for future use and also load the layer into the Layers Panel.

Congratulations! You've learned the skills to select features by criteria of interest and export them to a new layer. You should now feel confident using the drop-downs to help construct expressions and applying the syntax to different field types. We'll advance these skills in the following demo, using the expressions in the field calculator to add and update fields, and in conjunction with the Select by Expression tool update the attributes for large feature selections.

(The words: "For comments or questions about this video, GIS tools or other Statistics Canada products or services, please contact us: statcan.sisagrequestssrsrequetesag.statcan@canada.ca" appear on screen.)

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Integrated Business Statistics Program (IBSP)

This guide is designed to assist you as you complete the 2019 Annual Survey of Environmental Goods and Services. If you need more information, please call the Statistics Canada Help Line at the number below.

Your answers are confidential.

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 information from this survey for statistical purposes.

Help Line: 1-877-949-9492

Table of contents

Reporting instructions

  • Report dollar amounts rounded to the nearest Canadian dollar.
  • When precise figures are not available, please provide your best estimates.
  • Exclude federal, provincial and territorial sales taxes and excise duties and taxes.

For the purposes of this survey, clean technology can be considered to consist of any product, process, or service designed with the primary purpose of contributing to remediating or preventing any type of environmental damage.

Definitions

Legal Name

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

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

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

Operating Name

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

Current main activity of the business or organization

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

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

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

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

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

Glossary of Terms

3D
Three dimensional
Additives/catalysts
Products that enhance the rate of a chemical reaction.
Adhesives
Adhesives or bioadhesives are made from natural polymeric materials that act as adhesives; e.g., a glue formed synthetically from biological monomers such as sugars.
Advanced batteries
Batteries incorporating materials that improve energy storage density, or reduce the weight and size, compared to traditional batteries e.g., nickel-hydride and lithium ion batteries.
Advanced insulation
Solutions for improving thermal insulation in new and existing buildings producing significant energy savings. Includes spray foam and other products that are alternatives to traditional forms of insulation.
Advanced thermostats
Advanced thermostats (also known as smart thermostats) maximize efficiency and off-peak energy usage to help save money and reduce emissions. Additionally, advanced thermostats incorporate other technologies such as sensors and Wi-Fi connectivity.
Aerodynamic device
An aerodynamic resistance or drag reduction technology that reduces fuel consumption.
Aircraft components using lightweight materials
A lightweight material is defined as having a higher strength to weight or stiffness to weight ratio. Conversely, components that are made lighter when using the same material by changing how it is designed or manufactured e.g., through additive manufacturing / 3D printing.
Algae biodiesel
A type of biodiesel fuel made from algae oils.
Anaerobic digester
A mechanical chamber which breaks down organic material using micro-organisms (bacteria) in an oxygen-free environment to produce renewable energy (biogas) and other biomaterials.
Automobile components using lightweight materials
A lightweight material is defined as having a higher strength to weight or stiffness to weight ratio, compared to conventional materials. Alternatively, components may be made lighter when using the same material by changing how it is designed or manufactured e.g., through additive manufacturing or 3D printing.
Auxiliary power unit
An idling reduction technology that stores power when the engine is running and supplies it to the vehicle's electrical devices when the engine is off.
Biobutanol
A renewable fuel produced from corn, sugar beets, and other types of biomass.
Biochar
A solid material obtained from thermochemical conversion of biomass in an oxygen-limited environment. Biochar can be used for a wide range of applications such as a soil amendment, carbon sequestration, and a source of renewable energy.
Biochemicals
Synthesized chemicals made using vegetable oils derived from corn, soybean, canola, and corn starches. They can be made into solvents, lubricants, waxes, adhesives, acetic acid, succinic acid, glycerol and methanol without using traditional petroleum bases.
Biocrude
A feedstock used in a petroleum refinery that is derived from one or more renewable feedstocks replacing, in part, conventional crude oil.
Bioenergy
Renewable energy produced from biological materials.
Bioenergy feedstock planning and management
Ensuring a sustainable biomass supply from the forestry and agricultural sectors, as well as from other organic residues such as municipal solid waste and algae.
Bioenergy feedstock valuation
Services which focus on modelling, technologies and techniques that lower the costs and increase quantities of renewable feedstocks while maintaining and improving the quality of the product.
Biofilters
A unit within a recirculating aquaculture system that reduces water exchanges by converting ammonia to nitrate.
Biofuel
A fuel that is derived from plant biomass, by chemical or geological processes.
Biogas
A combustible gas and type of biofuel produced by the decomposition of biological materials e.g., forestry residues and municipal waste, through anaerobic digestion or fermentation. Typical biogas consists of 50 to 60% methane and carbon dioxide.
Biohydrogen
Hydrogen produced biologically, most commonly by algae or bacteria, from both cultivation and waste organic materials.
Biomaterials
Materials derived from nature or synthesized in the laboratory using a variety of chemical approaches utilizing plant oils, sugars, or starches to create bioplastics, biofoams, biorubber, or reinforced biocomposites and biofibres.
Biopesticides
Pest management agents and chemicals derived from natural sources e.g., bacteria, fungi, viruses, plants, animals and minerals. They provide an alternative to synthetic chemicals and are used to control pest populations in crop production and other settings. Typically a biopesticide is target-specific and has little or no impact on non-target organisms and the environment.
Biopolymers
A non-petroleum based form of plastic derived from renewable biomass sources such as vegetable oil or corn starch.
Biosolvents
Bio-based agent for cleaning or degreasing parts, stripping paint or removing inks.  Derived from agricultural crops e.g., corn, soybeans, citrus fruit skins or tree bark.
Biostimulants
A material which contains substances or microorganisms whose function is to stimulate natural processes in plant growth e.g., nutrient uptake, nutrient use efficiency, tolerance to abiotic stress, and crop quality. Biostimulants are a bio-based alternative to fossil-fuel based fertilizers.
BOMA
The Building Owners and Managers Association
CAN$
Canadian dollars
Carbon capture and sequestration (storage) technologies
Technologies used to capture, transport and store carbon dioxide produced as the result of an industrial process, before its release to the atmosphere.
Cellulose filaments (CF)
Extracted from wood pulp fibres using a mechanical process that requires no chemicals or enzymes. CF are extremely strong, flexible and light, and has a unique bonding capacity that makes them an exceptional reinforcement additive for a wide range of products such as bioplastics, adhesives, as well as paints and other coatings.
Cellulosic Ethanol
Ethanol produced from cellulose e.g., the stringy fibre of a plant, typically from grasses, grains or wood.
Centrifuges
Machines or equipment that spin a vessel at high speeds to create separation of materials. Centrifugation can be used to recover solids from slurries, or to clarify liquids and solids.
Chipper
A machine used to mechanically reduce the size of feedstock wood material to a size suitable for further processing e.g., for producing wood pellets or as an input into another bio-manufacturing process.
CHP
Combined heat and power
Clean coal
Technology and processes that mitigate the emissions produced from the burning of coal for electrical power. Generally, to be considered "clean" the combustion should result in an emission intensity equal to or less than that produced by burning natural gas.
CNG
Compressed natural gas (CNG) is methane that is stored at a high pressure and can be used in place of gasoline. CNG may be found naturally above oil deposits or is collected from landfills or wastewater treatment plants e.g., biogas.
Coagulant
A material (iron or aluminum salts, e.g., aluminum sulphate, ferric sulphate, ferric chloride, polymers) added to a colloidal solution to remove suspended particles through coagulation.  Often used in water treatment.
Combined heat and power and cogeneration
Combined heat and power (CHP) is a cogeneration system that involves the simultaneous production of electricity and heat from a single fuel source. It uses waste heat recovery technology to capture heat by-products to generate electricity. CHP is not a single technology but an integrated energy system that can be modified depending on the needs of the energy user.
Combined heat and power bioenergy systems
Using a biomass fuel source instead of a fossil fuel source to generate electricity and heat with a combined heat and power cogeneration system. See definition for combined heat and power and cogeneration.
Composite materials
Materials consisting of strong, stiff fibres in a tough resin matrix and used to reduce weight for fuel efficiency purposes. Composite materials used in the aerospace industry include carbon and glass-fibre reinforced plastics and metals used in cabin components and functional components in the wings, engines or landing gear. 
Compressed air
Compressed air energy storage (CAES) is a way to store energy by compressing air and storing it in underground caverns, depleted wells or aquifers.
Crop Canopy Sensors
A technology used in precision agriculture that uses visible light (VIS) and near infrared light (NIR) to determine plant nitrogen levels in a crop.  This technology can assist in identifying specific areas of a field that require fertilization.
Cyber security
Services assisting utility companies with the protection of critical smart grid infrastructure assets from cyber security threats. Cyber security services protect data and access to all components of the smart grid. This includes threat detection and compliance management.
Desalination processes
Various technologies and processes used to remove salt from water.
Distillation tower
Equipment used to refine and separate purified products and aqueous streams during biofuel production.
DME
Dimethyl Ether
Double layer capacitor
Capacitors with enhanced cycle stability and extremely high power capability; very efficient energy storage capability compared to traditional capacitors and batteries.
Dryer
Equipment used to remove moisture from a liquid/solid mixture. Dryers vary in application and function e.g., rotating drum dryers, rotary dryers, flash dryers, fluidized bed dryers, spray dryers, conveyor dryers, tray dryers, thin-film dryers.
Efficient turbine
A fuel efficient turbine engine is one that uses less fuel to produce the same output e.g., either in the form of thrust for a jet engine or horsepower for a turboshaft engine. Engine weight is an important factor associated with the efficiency of the turbine.
Electric vehicle
A vehicle using a battery to store electrical energy that powers the motor.
Electrodeionization technologies
A process which combines semi-impermeable membrane technology with ion-exchange media to provide a high-efficiency demineralization process.
Emission control
Technologies that reduce the amount of air pollutants, including greenhouse gases, released into the atmosphere.
Energy efficiency
A way of managing and restraining the growth in energy consumption. Something is more energy efficient if it delivers more services for the same energy input, or the same services for less energy input.
Energy Logs
A cleaner burning fuel than firewood and other densified fire logs.
Engine control module
Controls the engine's performance, fuel efficiency and emissions; monitors the operation of the vehicle; and troubleshoots mechanical problems.
Engineered wood products
A variety of products required in mass timber construction and design (i.e., cross laminated timber) that generally involve lamination and compression of multiple layers of smaller pieces of wood to create large panels. The process creates a very strong panel that meets the safety requirements needed to build tall structures.
Environmental employment
Positions that directly or indirectly contribute to preserving or restoring environmental quality. For example, this may include jobs related to the production of goods or provision of services that help to: protect ecosystems and biodiversity; reduce the use of energy, materials, and water consumption in manufacturing processes; lower the carbon expenditure of industrial processes, or; minimize or altogether avoid generation of waste and pollution.
Environmental measurement apparatus
Equipment or instruments that assist in data collection involving the assessment of chemical, physical, or biological factors in the environment.
Ethanol
A renewable alcohol fuel made from plant material e.g., corn, sugar cane or grasses.
FC
Fuel cell
Fluoridation
The addition of fluoride in a public water supply to reduce tooth decay.
Flywheel
A rotating mechanical device that is used to store rotational energy.
Foams
Foams or biofoams are biopolymers made from plant materials that are biodegradable and may be industrially composted at high temperatures. They are durable and suitable for long-term use in virtually all technical and packaging applications.
FTE
Full-time equivalent
Fuel cell vehicle FC stack
A fuel cell FC stack is an assembly of individual membrane electrode assemblies that use hydrogen and oxygen to produce electricity in a fuel cell vehicle.
GIS
Geographic Information System
GPS
Global Positioning System
Green building certification
A process administered by a recognized body that approves a construction project as environmentally responsible and resource-efficient throughout a structure's life-cycle.
Greywater reuse system
A system that collects greywater from showers and sinks, for the purpose of filtering and purifying, for further non-potable uses e.g., toilet flushing or irrigation. It consists of a tank, a pump, a disinfection additive such as chlorine and a filtration component.
Greensand filtration
A specialized filtration process that removes iron, manganese and hydrogen sulphide from water.
Hot dry rock (HDR)
A type of geothermal energy resource that uses heat recovered from dry subsurface rocks to generate electricity.
HVAC
Heating, ventilation, and air conditioning
Hybrids
Vehicles containing both an electric motor and an internal combustion engine (ICE).  The electric motor uses batteries charged from the grid, and which may be re-charged through energy conversion mechanisms while in operation. The ICE uses traditional fuels, e.g., gasoline or diesel.
ICE
Internal combustion engine
Industrial design and related services
Refers to the design of energy efficient technologies and products for market, or part of a contracted service for industries such as transportation, aerospace, commercial energy projects, etc.
Intelligent traffic control
Optimizing the performance of traffic signals for real-time traffic conditions and improving traffic flow, resulting in a reduction in idling time, traffic congestion and emissions from vehicles at intersections.
ISO
International organization for standardization
Leak detection
A device that detects the presence of gases in an area, often as part of a safety system. This type of equipment is used to detect a gas leak and interface with a control system so a process can be automatically shut down. Gas detectors can be used to detect combustible, flammable and toxic gases, and oxygen depletion.
Li-ion
Lithium-ion battery
Livestock precision feeding technology
Technology consisting of animal-specific data collection and automated feeding systems to conserve livestock feed inputs.
LNG
Liquefied natural gas (LNG) is natural gas that has been converted to liquid form.
Low emitting burner
High-efficiency burners e.g., low NOx and low SOx burners, that minimize the amount of pollutants produced during combustion.
Low rolling resistance tire
Designed to reduce rolling resistance, or the energy lost from drag and friction of a tire rolling over a surface, to improve fuel efficiency in vehicles.
Management systems
Software systems that employ artificial intelligence or rules based on process knowledge to control energy distribution.
Microgrid solutions
Services that design and develop comprehensive microgrid solutions for energy infrastructure projects. A microgrid is a local energy grid with control capability that can disconnect from the traditional grid and operate autonomously.
Micro/ultrafiltration
Membrane technologies used to treat drinking water. 
Microscreening
A water treatment technology to remove suspended solids, micro pollutants and to increase the efficiency of downstream treatment systems.
Mixer
Industrial mixers are able to blend combinations of solids, gases and liquids. Mixing is usually completed in either single-phase or multi-phase formats.
Modelling services
The use of specially designed energy modelling software and other building data to simulate a variety of building details during construction or renovation projects.  Used to optimize roof and wall construction, lighting and power densities, domestic hot water usage, and heating and ventilation systems.  Modifying variables e.g., outdoor and indoor temperature, solar orientation, humidity, energy costs, construction materials, and occupant levels allow the energy modeller to come up with different scenarios to optimize a building's design and meet energy efficiency objectives. 
Nanocrystalline Cellulose
Nano-structures made from pure cellulose.  They may be used in coating, papermaking, biocide dispersion, or in composite products.
Nanofiltration
A water-softening membrane technology that removes most organic compounds, nearly all viruses, most natural organic matter and a range of salts from water.
NaNiCl
Sodium-nickel chloride batteries
NaS
Sodium-sulphur batteries
NiCd
Nickel-cadmium battery
NiMH
Nickel-metal hydride battery
NOx
Nitrogen oxides
Nuclear energy
The energy that is released through a nuclear reaction or radioactive decay process.
Nuclear island
The part of the nuclear power plant that incorporates all equipment, systems, installation and control, heating and ventilation and other relevant hardware installed within the reactor and reactor auxiliary buildings. Steam generators that transfer heat from the primary circuit within the reactor to a secondary circuit for power generation are included in the nuclear island.
Nuclear reactor
The heart of a nuclear power plant in which nuclear fission may be initiated and controlled in a self-sustaining chain reaction to generate energy or produce useful radiation.
pH
Potential of hydrogen
Phasor measurement unit
A phasor measurement unit (PMU) is a device which measures the electrical waves on a power grid to monitor and control load and detect faults.
Powder metallurgy, coatings, polishing, anodizing for fuel efficiency
Surface treatments used to improve the finish, durability and corrosion resistance of many components. Also used for restorative maintenance e.g., secondary to fuel efficiency.  Metal powders can be used in additive manufacturing which has the potential to make parts lighter (therefore improving fuel efficiency).
Pumped hydro
A system for generating hydroelectric power for peak periods by pumping water from a lower to an upper reservoir during low-demand/off-peak periods e.g., charging. When required, the water flows back from the upper to the lower reservoir to produce electricity e.g., discharging.
Pyrolysis
Pyrolysis is the transformation of a carbon-rich substance into one or more substances   e.g., syngas or biochar, through heating in the absence of oxygen.
Pyrolysis oil
A renewable liquid fuel derived from woody biomass via fast pyrolysis process.
R-2000
Energy efficient homes rating
Renewable diesel
Diesel fuel substitute made from renewable materials such as vegetable oil, waste, cooking oil, animal fat, fish oil or cellulosic feedstocks consisting of agriculture and forest biomass. It can be used in all modern diesel engines without requiring engine modifications.
Reverse osmosis
A water treatment process that uses pressure to move a liquid through a membrane, thereby removing ions of salt, calcium and chlorine or larger molecules such as bacteria, urea and glucose.
RFID
Radio-frequency identification
Self-healing grids
A monitoring solution for a more efficient energy grid. A self-healing grid is a system comprised of sensors, automated controls and advanced software that utilizes real-time distribution data to detect and isolate faults and to reconfigure the distribution network to minimize service disruptions.
Shredder
Equipment used to cut, shear, tear, slice, or rip apart materials into smaller pieces typically in a strip or chip-like output shape. Shredders may be used to process forestry and agricultural biomass to convert it into a more useable form for further biofuel or biomaterial processing.
Smart grid
Adaptions to a conventional power grid, allowing two-way communications, control and automation capabilities to make it more reliable, flexible, efficient, clean, safe and customer-friendly.
Smart inverter
Inverters that enable the integration of distributed photovoltaic power generation into the power grid.
SOx
Sulphur oxides
Storage systems
Includes above and underground types of storage systems. The tanks can be used for storage, mixing, or as vessels for chemical processes.
Superconducting magnetic energy storage
Energy storage using a magnetic field created by the flow of direct current in a superconducting coil kept below its superconducting critical temperature.
Syngas
Also called Synthesis gas, it is an intermediate product produced by gasification from biomass feedstocks. Syngas can then be converted into hydrogen, a variety of chemicals, fertilizers and liquid fuels, or used to generate electricity.
Thermal storage systems
Encompasses a wide range of technologies that allow thermal energy to be collected and stored for later use. Storage mediums include water, bedrock, deep aquifers, and phase-change materials.
Traffic management
Improving the flow of traffic through the use of data and design.
UAV/drone
An unmanned aerial vehicle (UAV) or drone is an aircraft designed to fly without a human operator on board.  They are equipped with video and multispectral cameras, GPS receivers and advanced data collection and sensor technologies to perform agriculture-related monitoring.
UV
Ultraviolet
Ultrasonic detection
Ultrasonic-level measurement devices employ sound waves for detection of liquid levels.
Variable rate technology
Instrumentation and equipment used for varying the rates of application of fertilizer, pesticides and seeds as it moves across a field.
Vehicle emission monitoring
Technologies such as catalytic converters, exhaust gas recirculation, engine monitoring sensors, computer controls and feedback systems that aid in the reduction of greenhouse gases, volatile organic compounds, carbon monoxide and oxides of nitrogen.
Vehicle fleet management and logistics
Support services comprised of consulting, tools, products, and software designed for companies with fleets of commercial vehicles or trucks (excluding rentals) that help optimize fleet operations such as communication, tracking and routing, maintenance, and management of fuel consumption.
Washer
Refers to the washing step of biofuel refining where impurities are adsorbed using a material such as magnesium silicate. Purified biodiesel liquid is then separated from the solid dry wash adsorbent and filtered, resulting in clarified biodiesel.
Yield Sensors
Sensors used to aid the monitoring of yields within a field.

Reporting period information

Report information for this establishment's 12-month fiscal period (normal business year) ending between April 1st, 2019 and March 31st, 2020. Please indicate the reporting period covered by this questionnaire.

Activity sectors

Report goods manufactured as part of an environmental service provided under Service provider, and include the sales of related machinery, equipment, and products.

Total revenue

Total revenue is the sum of the value of sales (before royalties, taxes and other charges) and all other revenues, except contributions from owners.

When precise figures are not available please provide your best estimates.

Include:

  • sales of all goods and services
  • other operating revenue
  • non-operating revenue.

Report in Canadian dollars.

Sales of goods

Report domestic and export sales of selected environmental and clean technology goods.

Include (where applicable):

  • sales (domestic sales and export sales) of goods manufactured at a Canadian location
  • sales of goods manufactured outside Canada and imported for sale

Exclude federal, provincial and territorial sales taxes and excise duties and taxes.

Some goods listed may be used for more than one of the environmental functions listed. Report sales under the environmental function category that best reflects the ultimate use of your product. Include machinery, equipment, products, and technologies.

Sales of environmental and clean technology goods are defined as revenues derived from the sale of goods (cash or credits) falling within a business's ordinary activities. Sales should be reported net of excise and federal, provincial or territorial sales taxes.

Revenue from services

Report domestic and export revenues of selected environmental and clean technology services.

Include (where applicable):

  • goods sold as part of a service delivered (related machinery, products and equipment)
  • domestic and export sales of services provided from a Canadian location

Exclude federal, provincial and territorial sales taxes and excise duties and taxes.

Sales of environmental and clean technology services are defined as amounts derived from the provision of environmental and clean technology services falling within a business's ordinary activities. Sales should be reported net of excise and federal, provincial or territorial sales taxes.

Thank you for your participation.