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 Economic Development 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 collects, compiles, analyzes and publishes 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 protects 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 2017–2018 Main Estimates and in the Statistics Canada 2017–2018 Departmental Plan.

The quarterly financial report:

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 2017–2018 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 decrease in resources available for the year, as well as actual expenditures for the quarter ended December 31.

Chart 1: Comparison of gross budgetary authorities and expenditures as of December 31, 2016, and December 31, 2017, in thousands of dollars
Description for Chart 1: Comparison of gross budgetary authorities and expenditures as of December 31, 2016, and December 31, 2017, in thousands of dollars

This bar graph shows Statistics Canada's budgetary authorities and expenditures, in thousands of dollars, as of December 31, 2016 and 2017:

  • As at December 31, 2016
    • Net budgetary authorities: $775,438
    • Vote netting authority: $120,000
    • Total authority: $895,438
    • Net expenditures for the period ending December 31: $563,811
    • Year-to-date revenues spent from vote netting authority for the period ending December 31: $52,285
    • Total expenditures: $616,096
  • As at December 31, 2017
    • Net budgetary authorities: $571,673
    • Vote netting authority: $120,000
    • Total authority: $691,673
    • Net expenditures for the period ending December 31: $412,612
    • Year-to-date revenues spent from vote netting authority for the period ending December 31: $56,552
    • Total expenditures: $469,164

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 2017–2018 have decreased by $203.7 million, or 22.8%, from the previous year, from $895.4 million to $691.7 million (Chart 1). This net decrease was mostly the result of the following:

  • Decrease for the Census of Population program ($310.0 million), as well as for the Census of Agriculture program ($12.1 million) due to the cyclical nature of funding winding down in 2017–2018;
  • Increase for negotiated salary adjustments ($45.4 million);
  • Increase for the Statistical Survey Operations pay equity settlement ($37.6 million);
  • Increase in the value of the carry forward by $15.7 million;
  • Increase for the implementation of new programs such as the Housing Statistics Framework (Canadian Housing Statistics Program) and the Measurement of Growth in International Visitors to Canada ($10.4 million).

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. Vote netting authority is stable at $120 million in each of the fiscal years 2016–2017 and 2017–2018.

Significant changes to expenditures

Year-to-date net expenditures recorded to the end of the third quarter decreased by $151.2 million, or 26.8% from the previous year, from $563.8 million to $412.6 million (See Table A: Variation in Departmental Expenditures by Standard Object).

Most of the decrease in spending is due to the 2016 Census of Population program. Statistics Canada spent approximately 72.2% of its authorities by the end of the third quarter, compared with 72.7% in the same quarter of 2016–2017.

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 2016-2017 and 2017-2018. 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 2016–2017 and 2017–2018
$'000 %
(01) Personnel 12,627 3.1
(02) Transportation and communications -48,654 -81.1
(03) Information -5,751 -62.6
(04) Professional and special services -106,109 -88.6
(05) Rentals -4,470 -31.9
(06) Repair and maintenance -420 -72.8
(07) Utilities, materials and supplies -855 -53.2
(08) Acquisition of land, buildings and works 196 420.9
(09) Acquisition of machinery and equipment 861 17.7
(10) Transfer payments -100 -100.0
(12) Other subsidies and payments 5,743 17,999.8
Total gross budgetary expenditures -146,932 -23.8
Less revenues netted against expenditures
Revenues 4,267 8.2
Total net budgetary expenditures -151,199 -26.8
Note: Explanations are provided for variances of more than $1 million.

The 2016 Census of Population reached the peak of its cyclical expenditures in 2016–2017, spending in 2017–2018 drops sharply as activities wound down.

01) Personnel: The increase is mainly due to the retroactive salary payments of signed collective agreements and to the salary payments related to the Statistical Survey Operations pay equity settlement. This increase is partly offset by the decrease in expenditures of public servants whom were hired in 2016–2017 to conduct census-related activities.

02) Transportation and communications: The decrease is mainly due to reduced costs in postage and travel in 2016–2017 for census related activities.

03) Information: The decrease is mainly due to the printing of census material and the implementation of the census media plan in 2016–2017.

04) Professional and special services: The decrease is mainly due to the end of census collection and processing activities, which employed approximately 35,000 temporary staff in 2016–2017.

05) Rentals: The decrease is mainly due to the closure of building space rented for the regional census offices during the census collection in 2016–2017 and to software licenses maintenance.

12) Other subsidies and payments: The increase is mainly due to the non-salary payments related to the Statistical Survey Operations pay equity settlement.

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

C) Risks and uncertainties

Statistics Canada uses a risk-based decision-making process to conduct its business. In order to do so effectively, the agency identifies key corporate risks and develops corresponding mitigation strategies within its Corporate Risk Profile on an annual basis. At this point in time, none of the agency's key corporate risks involve significant financial risks.

D) Significant changes to operations, personnel and programs

In 2017–2018, Statistics Canada will continue the processing and analysis of Census program data, and dissemination of the remaining major 2016 census data releases.

This year a total of six releases took place. For the Census of Population, five releases took place in May, August, September, October and November 2017. Regarding the Census of Agriculture, the release took place in May.

This contrasts with last year, when Statistics Canada focused on data collection and processing activities of the 2016 Census program.

Approval by senior officials

The original version was signed by
Anil Arora, Chief Statistician
Monia Lahaie, Chief Financial Officer
Ottawa, Ontario
Date signed: February 26, 2018

Appendix

Statement of Authorities (unaudited)
Fiscal year 2017–2018
Table summary: This table displays the departmental authorities for the fiscal year 2017-2018. The row headers provide information by type of authority, Vote 105 – Net operating expenditures, Statutory authority and Total Budgetary authorities. The column headers provide information in thousands of dollars for Total available for use for the year ending March 31; used during the quarter ended December 31; and year to date used at quarter-end for 2017-2018.
  Total available for use for the year ending March 31, 2018Table footnote 1 Used during the quarter ended December 31, 2017 Year-to-date used at quarter-end
in thousands of dollars
Vote 1 — Net operating expenditures 504,931 107,830 363,493
Statutory authority — Contribution to employee benefit plans 66,742 16,373 49,119
Total budgetary authorities 571,673 124,203 412,612
Table footnote 1

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

Return to table footnote 1 referrer

Statement of Authorities (unaudited)
Fiscal year 2016–2017
Table summary: This table displays the departmental authorities for the fiscal year 2016-2017. The row headers provide information by type of authority, Vote 105 – Net operating expenditures, Statutory authority and Total Budgetary authorities. The column headers provide information in thousands of dollars for Total available for use for the year ending March 31; Used during the quarter ended December 31; and year to date used at quarter-end for 2016-2017.
  Total available for use for the year ending March 31, 2017Table footnote 1 Used during the quarter ended December 31, 2016 Year-to-date used at quarter-end
in thousands of dollars
Vote 1 — Net operating expenditures 696,601 103,116 504,683
Statutory authority — Contribution to employee benefit plans 78,837 19,709 59,128
Total budgetary authorities 775,438 122,825 563,811
Table footnote 1

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

Return to table footnote 1 referrer

Departmental budgetary expenditures by Standard Object (unaudited)
Fiscal year 2017–2018
Table summary: This table displays the departmental expenditures by standard object for the fiscal year 2017-2018. 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 2017-2018.
  Planned expenditures for the year ending March 31, 2018 Expended during the quarter ended December 31, 2017 Year-to-date used at quarter-end
in thousands of dollars
Expenditures:
(01) Personnel 536,699 136,648 418,589
(02) Transportation and communications 22,235 4,565 11,346
(03) Information 6,755 1,215 3,439
(04) Professional and special services 43,812 5,638 13,595
(05) Rentals 16,829 1,375 9,547
(06) Repair and maintenance 2,782 49 157
(07) Utilities, materials and supplies 3,931 279 754
(08) Acquisition of land, buildings and works - 199 243
(09) Acquisition of machinery and equipment 11,485 2,294 5,719
(10) Transfer payments 100 - -
(12) Other subsidies and payments 47,045 4,707 5,775
Total gross budgetary expenditures 691,673 156,969 469,164
Less revenues netted against expenditures:
Revenues 120,000 32,766 56,552
Total revenues netted against expenditures 120,000 32,766 56,552
Total net budgetary expenditures 571,673 124,203 412,612
Departmental budgetary expenditures by Standard Object (unaudited)
Fiscal year 2016–2017
Table summary: This table displays the departmental expenditures by standard object for the fiscal year 2016-2017. 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 2016-2017.
  Planned expenditures for the year ending March 31, 2017 Expended during the quarter ended December 31, 2016 Year-to-date used at quarter-end
in thousands of dollars
Expenditures:
(01) Personnel 537,192 129,414 405,962
(02) Transportation and communications 91,884 4,299 60,000
(03) Information 13,896 718 9,190
(04) Professional and special services 209,513 5,320 119,704
(05) Rentals 21,315 5,233 14,017
(06) Repair and maintenance 5,730 195 577
(07) Utilities, materials and supplies 6,411 505 1,609
(08) Acquisition of land, buildings and works - 47 47
(09) Acquisition of machinery and equipment 9,342 2,786 4,858
(10) Transfer payments 100 - 100
(12) Other subsidies and payments 55 16 32
Total gross budgetary expenditures 895,438 148,533 616,096
Less revenues netted against expenditures:
Revenues 120,000 25,708 52,285
Total revenues netted against expenditures 120,000 25,708 52,285
Total net budgetary expenditures 775,438 122,825 563,811

Statistics Canada - Producer Prices Division

Confidential when completed.

If necessary, please make address label corrections in the boxes below (please print)

Email Address

Legal name

Business Name

Title of contact

First Name of contact

Last Name of contact

Mailing Address (number and street)

City

Province/ territory or state

Country

Postal Code/Zip Code

Language Preference

  • English
  • French

This information is collected under the authority of the Statistics Act, Revised Statutes of Canada, 1985, Chapter S-19.

Completion of this questionnaire is a legal requirement under this Act.

Introduction

Purpose of this Survey

The data collected in this quarterly survey will be used to produce an index that measures the change in average prices charged for securities brokerage services in Canada. Statistics Canada will use the index to estimate inflation-adjusted growth and productivity for this sector of the economy.

This survey applies to registered Dealer/Broker firms in Canada that provide full-service brokerage services to retail clients.

Statistics Canada plans to combine the responses relating to your organization with the information you previously provided on this survey. Your information may also be used by Statistics Canada for other statistical and research purposes.

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. Information from this survey will be used for statistical purposes.

Record linkages

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

Your participation is important

Your participation is vital to ensuring that the information collected in this survey is accurate and comprehensive.

Return Procedures…. Need Help?

Please return the completed questionnaire to Statistics Canada within 20 days of receipt by mail using the return envelope. You can also fax it to 1-855-314-8765 or email to ssbs-ppd@statcan.gc.ca.

Lost the return envelope or need help?

Call us at 1-800-478-5086 or mail to:

Statistics Canada,
Producer Prices Division,
170 Tunney's Pasture Driveway,
Jean Talon Bldg, 10th Floor,
Ottawa, Ontario,
K1A 0T6.

Fax or e-mail transmission disclosure

Statistics Canada advises you that there could be a risk of disclosure during the transmission of information by facsimile or email. However, upon receipt, Statistics Canada will provide the guaranteed level of protection afforded all information collected under the authority of the Statistics Act.

Glossary

Account/Household Value Ranges
The market values of assets in accounts on which the fees were based, arranged in a series of ascending tiers.
Advisor Managed Account (discretionary)
An account similar to a fee-based brokerage account except that the Investment Advisor/Broker acts as the portfolio manager and has been given the discretionary authority to make investment decisions on behalf of the client rather than obtaining their approval to execute each transaction. Fees are typically calculated based on a percentage of the market value of assets. This survey excludes wraps or any third party managed accounts.
Asset-Class Based Pricing Model
A pricing model where the fee charged by Investment Advisors/Brokers is calculated based on both the types and market value of assets in accounts. This survey includes only Equity and Fixed Income pricing models.
Blended Pricing Model
A pricing model where the fee charged by Investment Advisors/Brokers is calculated based only on the market value of assets, regardless of the types of assets in accounts.
Canadian Exchange Listed Equities
Stocks that are listed on Canadian securities exchanges such as the Toronto Stock Exchange.
Equity Pricing Model
An Asset-Class Based pricing model that is used to calculate the Investment Advisor/Broker fees charged on Fee-Based Brokerage and Advisor Managed Accounts that contain Equity assets.
Fee-Based Brokerage Account (non-discretionary)
An account similar to a transaction-based account except that clients are charged a fee typically based on a percentage of the market value of assets or a flat annual fee rather than commissions on a per transaction basis. The account fee generally includes a trade allowance and the Investment Advisor/Broker is required to obtain the client's approval before executing securities transactions on their behalf (non-discretionary).
Fixed Income Pricing Model
An Asset-Class Based pricing model that is used to calculate the Investment Advisor/Broker fees charged on Fee-Based Brokerage and Advisor Managed Accounts that contain Fixed Income assets.
Household Value
The market value of a group of accounts that are enrolled together; typically based on address and/or related family members and referred to as a 'household' account.
In these cases, the Investment Advisor/Broker calculates their fee based on the aggregate market value of the 'household' account rather than on the market value of each individual account.
Retail Full-Service Brokerage
The segment of a firm's securities brokerage business where Investment Advisors/Brokers maintain an ongoing relationship with individual investors (retail clients) and work with these clients to determine and implement their investment objectives. Excludes Discount/Online.
Total Commissions
The sum of commissions earned in the calendar quarter for executing trade orders of Canadian exchange listed equities on behalf of retail full-service brokerage clients. Excludes 'new issue' equities and Discount/Online transactions.
Total Fees
The sum of investment advisory/brokerage fees earned for the calendar quarter on Fee-Based Brokerage or Advisor Managed accounts. Excludes taxes and all administrative fees.
Total Account/Household Values
The sum of the market values of assets in accounts on which the fees were based (billable portion of account assets).
Total Principal Value of Trades
The sum of the principal values of trades that were executed during the calendar quarter. Please report based on 'collapsed' fills where applicable.
Trade Value Ranges
The principal values of trades arranged in a series of ascending tiers.
Transaction-Based Account
An account in which Investment Advisors/Brokers charge clients a commission for every trade executed on their behalf. Commissions are usually charged based on a percentage of the principal value of trades or a flat dollar amount.

Section A. Transaction-Based Accounts: Exchange Listed Equities

An account in which Investment Advisors/Brokers charge clients a commission for every trade executed on their behalf. Commissions are usually charged based on a percentage of the principal value of trades or a flat dollar amount.

Please report only for purchases and sales of Canadian exchange listed equities executed on behalf of
retail full-service brokerage clients.

Exclude:

  • 'new issue' equities
  • Discount/Online transactions

Instructions:

For each Trade Value Range (A), please report the Total Commissions (B) earned in the calendar quarter and the corresponding Total Principal Value of Trades (C) on which the commissions were based.

Please ensure fills are collapsed where applicable.

Canadian Exchange Listed Equities
(report data in thousands of Canadian dollars)
Table Summary
This table contains no data and is used for exemplary purposes only.
Trade Value Ranges
($ Cdn)
A
Total Commissions
($000's)
B
Total Principal Value of Trades
($000's)
C
up to $9,999    
$10,000-$24,999    
$25,000-$49,999    
$50,000-$99,999    
$100,000-$149,999    
$150,000-$199,999    
$200,000-$399,999    
$400,000-$599,999    
$600,000-$799,999    
$800,000 +    
Totals    

Notes:

  1. When multiple fills are required to complete client orders, please collapse the fills to ensure that the total commissions charged and the corresponding total principal value of trades are aggregated and reported correctly.
  2. Include transactions for fee-based brokerage accounts only in cases where clients were charged a commission for a trade that exceeded their trade allowance.
  3. Include the total principal value of trades for trades that were executed for free.

Section B. Fee-Based Brokerage Accounts (non-discretionary): Blended Pricing Model

An account similar to a transaction-based account except that clients are charged a fee typically based on a percentage of the market value of assets in the account or a flat annual fee rather than commissions on a per transaction basis. The account generally includes a trade allowance and the Investment Advisor/Broker is required to obtain the client's approval before executing securities transactions on their behalf (non-discretionary).

Blended Pricing Model: a pricing model where the fee charged by Investment Advisors/Brokers is calculated based only on the market value of assets in the account or group of accounts (household), regardless of the types of assets in accounts.

Examples:

  • The fee is charged as a flat dollar amount or calculated as an annual percentage rate based on the total market value of assets in the account or group of accounts (household).
  • The fee is calculated by applying different rates to incremental dollar portions of the total market value of assets in the account or group of accounts (household) which are then blended together to derive the fee.

Instructions:

For each Account/Household Value Range (A), report the Total Fees (B) earned for the calendar quarter and the corresponding Total Account/Household Values (C) on which the fees were based (billable portion of account assets).

Blended Pricing Model
(report data in thousands of Canadian dollars)
Table Summary
This table contains no data and is used for exemplary purposes only.
Account/Household Value Ranges
($ Cdn)
A
Total Fees
($000's)
B
Total Account/Household Values
($000's)
C
up to $99,999    
$100,000-$249,999    
$250,000-$499,999    
$500,000-$999,999    
$1 Million-$1.9 Million    
$2 Million-$4.9 Million    
$5 Million-$9.9 Million    
$10 Million +    
Totals    

Section B. Fee-Based Brokerage Accounts (non-discretionary): Asset-Class Based Pricing Models

An account similar to a transaction based account except that clients are charged a fee typically based on a percentage of the market value of assets in the account or a flat annual fee rather than a commission on a per transaction basis. The account generally includes a trade allowance and the Investment Advisor/Broker is required to obtain the client's approval before executing securities transactions on their behalf (non-discretionary).

Asset-Class Based Pricing Model: a pricing model where the fee charged by Investment Advisors/Brokers is calculated based on both the types and market value of assets in the account or group of accounts (household). This survey only includes data for the Equity and Fixed Income pricing models.

Instructions:

For each Account/Household Value Range (A), report the Total Fees (B) earned for the calendar quarter and the corresponding Total Account/Household Values (C) on which the fees were based (billable portion of account assets).

Asset-Class Based Pricing Models
(report data in thousands of Canadian dollars)
Table Summary
This table contains no data and is used for exemplary purposes only.
Account/Household Value Ranges
($ Cdn)
A
Total Fees
($000's)
B
Total Account/Household Values
($000's)
C
1. Equity
up to $99,999    
$100,000-$249,999    
$250,000-$499,999    
$500,000-$999,999    
$1 Million-$1.9 Million    
$2 Million-$4.9 Million    
$5 Million-$9.9 Million    
$10 Million +    
Totals    
2. Fixed Income
up to $99,999    
$100,000-$249,999    
$250,000-$499,999    
$500,000-$999,999    
$1 Million-$1.9 Million    
$2 Million-$4.9 Million    
$5 Million-$9.9 Million    
$10 Million +    
Totals    

Section C. Advisor Managed Accounts (discretionary): Blended Pricing Model

An account similar to a fee-based brokerage account except that the Investment Advisor/Broker acts as the portfolio manager on the account and has been given discretionary authority to make investment decisions on behalf of the client rather than obtaining their approval to execute each transaction. Fees are typically calculated based on a percentage of the market value of assets. This survey excludes wraps or any third party managed accounts.

Blended Pricing Model: a pricing model where the fee charged by Investment Advisors/Brokers is calculated based only on the market value of assets in the account or group of accounts (household), regardless of the types of assets in accounts.

Examples:

  • The fee is charged as a flat dollar amount or calculated as an annual percentage rate based on the total market value of assets in the account or group of accounts (household).
  • The fee is calculated by applying different rates to incremental dollar portions of the total market value of assets in the account or group of accounts (household) which are then blended together to derive the fee.

Instructions:

For each Account/Household Value Range (A), report the Total Fees (B) earned for the calendar quarter and the corresponding Total Account/Household Values (C) on which the fees were based (billable portion of account assets).

Blended Pricing Model
(report data in thousands of Canadian dollars)
Table Summary
This table contains no data and is used for exemplary purposes only.
Account/Household Value Ranges
($ Cdn)
A
Total Fees
($000's)
B
Total Account/Household Values
($000's)
C
$100,000-$249,999    
$250,000-$499,999    
$500,000-$999,999    
$1 Million-$1.9 Million    
$2 Million-$4.9 Million    
$5 Million-$9.9 Million    
$10 Million +    
Totals    

Section C. Advisor Managed Accounts (discretionary): Asset-Class Based Pricing Models

An account similar to a fee-based brokerage account except that the Investment Advisor/Broker acts as the portfolio manager on the account and has been given discretionary authority to make investment decisions on behalf of the client rather than obtaining their approval to execute each transaction. Fees are typically calculated based on a percentage of the market value of assets. This survey excludes wraps or any third party managed accounts.

Asset-Class Based Pricing Model: a pricing model where the fee charged by Investment Advisors/Brokers is calculated based on both the types and market value of assets in the account or group of accounts (household). This survey only includes data for the Equity and Fixed Income pricing models.

Instructions:

For each Account/Household Value Range (A), report the Total Fees (B) earned for the calendar quarter and the corresponding Total Account/Household Values (C) on which the fees were based (billable portion of account assets).

Asset-Class Based Pricing Models
(report data in thousands of Canadian dollars)
Table Summary
This table contains no data and is used for exemplary purposes only.
Account/Household Value Ranges
($ Cdn)
A
Total Fees
($000's)
B
Total Account/Household Values
($000's)
C
1. Equity
$100,000-$249,999    
$250,000-$499,999    
$500,000-$999,999    
$1 Million-$1.9 Million    
$2 Million-$4.9 Million    
$5 Million-$9.9 Million    
$10 Million +    
Totals    
2. Fixed Income
$100,000-$249,999    
$250,000-$499,999    
$500,000-$999,999    
$1 Million-$1.9 Million    
$2 Million-$4.9 Million    
$5 Million-$9.9 Million    
$10 Million +    
Totals    

Please enter your comments concerning this survey in the space below.

Time to complete questionnaire

How long did you spend collecting and reporting the information needed to complete this questionnaire?

  • Hours
  • Minutes

Statistics Canada may need to contact the person who completed this questionnaire for further information. Please fill in the information below:

  • First Name
  • Last Name
  • Title
  • Telephone Number, Ext.
  • Fax number
  • Email address
  • Date completed (yyyy - mm - dd)
  • Signature:

Name and signature of authorized person (If different from above)

  • Name of authorized person
  • Signature of authorized person
  • Date completed (yyyy - mm - dd)

Thank you for completing this questionnaire.

Please make a copy of this completed questionnaire for your records

The Softwood Lumber Satellite Account: Sources, Methods and Preliminary Results

Executive summary

  • This report describes the preliminary release of the Softwood Lumber Satellite Account (SLSA) for reference years 2013 to 2015. The SLSA presents a supply and use table at purchaser prices that provides detail on core industries and products related to the Canadian forestry sector, while aggregating all other industry and product detail.
  • The SLSA situates the size and scope of several forestry-related industries and products within the economy as a whole. It integrates several Statistics Canada data products into the coherent macroeconomic framework of a supply and use table.
  • The 2013 figures have been benchmarked to the published Canadian supply and use tables (CSUTs). The 2014 and 2015 figures have been benchmarked to the income and expenditure gross domestic product aggregates from the Provincial and Territorial Economic Accounts (CANSIM tables 384-0037 and 384-0038).
  • The industries of interest range from loggers through to lumber, pulp and paper processing and finally, construction. These industries cover the major producers and users of products related to Canada's forestry sector. Specifically, NAICS 113, 115, 23, 321 and 322 are included.
  • The products of interest range from logs through to lumber and panels and on to secondary converted paper products whose production ultimately depends on feedstock primarily originating in Canadian forests. Several core services, such as log harvesting and construction activities, are also included.
  • The SLSA data differ from the Annual Survey of Manufacturing and Logging – Principal Statistics data. The differences are conceptual and methodological in nature. The SLSA uses the same concepts, classifications and structure as the Canadian System of Macroeconomic Accounts. Therefore, SLSA results are directly comparable with macroeconomic measures such as total economy gross domestic product, total output, exports, and final demand.
  • The SLSA differs from the Natural Resources Satellite Account (which has a forestry element). The SLSA is built along industry lines (NAICS) whereas the NRSA is an activity-based compilation. Both accounts provide useful perspectives on the forestry sector.
  • Gross value added from forestry-related industries increased in the years studied and amounted to roughly $20 billion per year. This $20 billion accounts for slightly more than 1% of Canada's total gross domestic product. In 2015, exports totalled more than $30 billion and imports totalled roughly $10 billion, resulting in a trade surplus of over $20 billion. Softwood products (of all types) were far more important than hardwood products in terms of gross added value. Contract loggers are extremely important components in the sector.

Background

Canada has the third-largest forested area in the world. It supports hundreds of thousands of jobs, and many billions of dollars in GDP and exports.Note 1 In this way, Canadian forests form the backbone of a large amount of economic activity. It begins with harvesting activities, where raw products are extracted from the forests, employing loggers, transporters, silviculture experts and tree farmers. The products continue through complex supply chains involving lumber producers, wood pellet manufacturers, particleboard and plywood makers, and pulp and paper mills. End users across Canada and the throughout the world benefit. Canadian lumber is used to build our homes, Canadian wood waste is used to heat our homes, and Canadian pulp produces the paper and packaging we see every day.

Canadian forestry supply chains have evolved to ensure that very little of what is harvested goes to waste: the right log for the right purpose. A "saw log" is different from a "pulp log." Sawdust is different from wood shavings, which are different from wood chips. Pulp made from softwoods has different characteristics than pulp made from hardwoods. Logs can be turned into lumber (of a variety of grades for a variety of uses), telephone poles or fence posts. Sawdust can be burned in boilers or used to make particleboard. Wood chips go to pulp mills. Planer shavings can be used for animal bedding. Canadian industry has evolved to make every effort to ensure that the maximum benefit is extracted from the harvested resource.

Management of Canadian forests is the responsibility of provincial governments. Each province takes a slightly different approach to how its forests are managed, though most have "tenure systems", i.e., mechanisms to impart rights to access a given area and harvest from it. Manufacturing end users in each province have also developed different means of acquiring their product. For example, in Nova Scotia, private land plays an important role in supplying products.Note 2 In British Columbia, nearly 100% of harvested products come from provincial Crown land. However, BC Timber Sales manages nearly 20% of the annual allowable cut, allowing for relatively easy access to the forests for smaller, short-term uses.

The diverse products originating in Canada's diverse landscape of forests, combined with a highly regulated environment for extraction, makes this a very complicated sector on which to generate statistics.

The Softwood Lumber Satellite Account

Statistics Canada produces a wealth of information on the forestry sector and its many supply chains. Statistics related to jobs, output, imports, exports and investment can be found among the many statistical products it releases. The Softwood Lumber Satellite Account (SLSA) complements this information by bringing it together in a consistent national accounting framework. In this way, the SLSA enables us to better understand the size, scope and evolution of the industry and place it in the context of the size, scope and evolution of Canada's total economic activity.

Supply and use tables

The SLSA is constructed as a supply and use table.

Supply and use tables (SUTs) are a powerful tool with which to compare and contrast data from various sources and improve the coherence of the economic information system. They permit an analysis of products and industries at a very detailed level within a consistent, internationally recognized economic measurement framework.Note 3

SUTs articulate the supply and uses of all products in the economy. A stylized version is shown in Table 1. The supply of a product can originate from domestic production or imports and is expressed in purchaser prices (the price paid by the final consumer of the good) after including margins for transport, trade, sales taxes and tariffs.

There are four broad categories of uses of products. Products can be used by businesses for the production of other goods or services (intermediate consumption); by households, government or non-profit institutions for final consumption; by businesses or governments as an asset for ongoing production (investment or capital formation); or to satisfy non-resident demand via exports.

Table 1: Stylized supply and use table
Table summary
This table displays the results of Table 1: Stylized supply and use table Supply and Use (appearing as column headers). This table contains no data.
  Supply Use
Domestic Production Imports Margins Intermediate Consumption Final Consumption Capital Formation Exports
Products              

In addition to presenting a complete articulation of product balances in the economy, SUTs bring together three different approaches to calculate gross domestic product (GDP):

  1. The production approach, where gross value added is the balancing item after subtracting intermediate inputs from output.
  2. The income approach, where GDP is calculated as the sum of the various types of returns to the factors of production—for example, operating surplus of firms and compensation of employees.
  3. The expenditure approach, where GDP is measured using the basic macroeconomic formula, GDP = final household consumption + investment + government consumption + exports – imports.

By bringing together the three GDP measures and the product balances, SUTs allow us to compare the share of foreign demand and the share of domestic demand. We can examine how goods are produced. We can link this information with labour market data to understand jobs and compensation. We can build multipliers to understand the impacts of shocks on the economy. In short, SUTs are the most comprehensive analytical tool with which to examine the activities of a nation's economy.

Industry, product and final demand classifications

Table 1 is constructed along two general dimensions: a "product" dimension, expressed in the rows of the SUT, and an "industry and final uses" dimension expressed in the columns. The benchmark Canadian supply and use tables (CSUTs) use the Supply and Use Product Classification (SUPC) for products, the Input-Output Industry Classification (IOIC) for domestic producers and intermediate consumption, and the Supply and Use Final Demand Classification (SUFDC) for disaggregating capital formation and final consumption. Each of these classifications is anchored to an International or North American standard classification system:

  • SUPC the North American Product Classification System (NAPCS)
  • SUPC the Harmonized System (HS) for trade
  • IOIC the North American Industry Classification System (NAICS)
  • SUFDC COICOP for Final Consumption Expenditures by households

The SLSA is composed of 17 industries and 9 final demand categories. There are 57 products (including value-added components). Table 2 shows the relationship between the SLSA industries and their counterpart in the benchmark CSUT. The SLSA industries disaggregate three CSUT industries along NAICS lines, creating 10 new industries.

Table 2 – Concordance between Core CSUT and Satellite Account industries
Table summary
This table displays the results of Table 2 – Concordance between Core CSUT and Satellite Account industries. The information is grouped by CSUT-IOIC Code (appearing as row headers), CSUT-IOIC Title, SLSA Industry Code, NAICS 6-Digit and SLSA Industry Title (appearing as column headers).
CSUT-IOIC Code CSUT-IOIC Title SLSA Industry Code NAICS 6-Digit SLSA Industry Title
BS113000 Forestry and logging BS113110 113110 Timber tract operations
BS113210 113210 Forest nurseries and gathering of forest products
BS113311 113311 Logging (except contract)
BS113312 113312 Contract logging
BS115300 Support activities for forestry BS115300 115310 Support activities for forestry
BS321100 Sawmills and wood preservation BS321111 321111 Sawmills (except shingle and shake mills)
BS321112 321112 Shingle and shake mills
BS321114 321114 Wood preservation
BS321200 Veneer, plywood and engineered wood product manufacturing BS321211 321211 Hardwood veneer and plywood mills
BS321212 321212 Softwood veneer and plywood mills
BS32121A 321215 Engineered wood product manufacturing
BS32121A 321216 Engineered wood product manufacturing
BS32121A 321217 Engineered wood product manufacturing
BS321900 Other wood product manufacturing BS321900 Several Other wood product manufacturing
BS322100 Pulp, paper and paperboard mills BS322100 Several Pulp, paper and paperboard mills
BS322200 Converted paper product manufacturing BS322200 Several Converted paper product manufacturing
BS23A000 Residential building construction BS23A000 N/ATable 2 note Residential building construction
BS23B000 Non-residential building construction BS23X000 N/ATable 2 note Construction (except residential building construction)
BS23C100 Transportation engineering construction BS23X000 N/ATable 2 note Construction (except residential building construction)
BS23C200 Oil and gas engineering construction BS23X000 N/ATable 2 note Construction (except residential building construction)
BS23C300 Electric power engineering construction BS23X000 N/ATable 2 note Construction (except residential building construction)
BS23C400 Communication engineering construction BS23X000 N/ATable 2 note Construction (except residential building construction)
BS23C500 Other engineering construction BS23X000 N/ATable 2 note Construction (except residential building construction)
BS23D000 Repair construction BS23X000 N/ATable 2 note Construction (except residential building construction)
BS23E000 Other activities of the construction industry BS23X000 N/ATable 2 note Construction (except residential building construction)
All other supply-use industry codes   OTHERIND   All other industries
Table 2 note †

Construction industries are not directly equivalent to NAICS in the CSUT. Rather, they are defined by the type of asset produced. In this way, construction is considered "activity-based" in the CSUTs.

Return to Table 2 note referrer

The expansion of CSUT-IOIC BS113000 allows the activities of contract loggers to be analyzed separately from those of non-contract loggers. Given the system of forest management in Canada, this separation of activities is of analytical value. Tenure holders are given the right to harvest a certain amount of trees from a given area for a predetermined period of time. In other words, they are given ownership rights over the materials. However, many of these companies employ "contract loggers" to gather and transport the logs from the forest area to the mill that requires the material (e.g., a sawmill or a pulp mill). These harvesting companies do not themselves "own" the logs they harvest. Their revenues are earned by selling a "service." In contrast, companies in the non-contract logging industry are assumed to own the logs they harvest, and thus earn revenue by selling a log.

The expansion of CSUT-IOIC BS321100 allows for the isolation of the activities of sawmills, without mixing the input or output patterns or value added ratios of the other industries contained in the CSUT industry. Although these other NAICS are of relatively lesser size for most provinces, their outputs and inputs can be sufficiently different in nature to make it useful to distinguish their figures.

Finally, the expansion of CSUT-IOIC BS321200 allows for the distinction between hardwood and softwood panel producers and those producing other types of engineered wood products.

Table 3 provides a link between the CSUT products that are disaggregated in the Satellite Account. For the most part, it distinguishes between the hardwood and softwood varieties of the corresponding benchmark CSUT products. This facilitates the analysis of these two very distinct types of forest products.

Table 3 – Concordance between Core CSUT and Satellite Account products
Table summary
This table displays the results of Table 3 – Concordance between Core CSUT and Satellite Account products. The information is grouped by CSUT-SUPC (appearing as row headers), CSUT-Description, Satellite Product and Detailed Title (appearing as column headers).
CSUT-SUPC CSUT-Description Satellite Product Detailed Title
MPG113001 Logs MPG113001H1 Hardwood logs and bolts (except fuel wood and pulpwood)
MPG113001S1 Softwood logs and bolts (except fuel wood and pulpwood)
MPG113002 Pulpwood MPG113002H1 Hardwood pulpwood
MPG113002S1 Softwood pulpwood
MPG113004 Rough untreated poles, posts and piling MPG113004H1 Rough untreated poles, posts and piling of hardwood
MPG113004S1 Rough untreated poles, posts and piling of softwood
MPG321103 Wood chips MPG321103H1 Hardwood chips
MPG321103S1 Softwood chips
MPG321201 Veneer and plywood MPG321201H1 Hardwood plywood
MPG321201H2 Hardwood veneer
MPG321201S1 Softwood plywood
MPG321201S2 Softwood veneer
MPG321908 Wood products, n.e.c. MPG321908H1 Hardwood flooring
MPG321908H2 Hardwood cut stock and dimension and other hardwood millwork products
MPG321908S1 Softwood flooring
MPG321908S2 Softwood cut stock and dimension and other hardwood millwork products
MPG321908X1 Sawn wood fence stock and wood lath, wood mouldings and other wood products, n.e.c.
MPG321X00 Waste and scrap of wood, wood by-products MPG321X00H1 Hardwood sawdust
MPG321X00H2 Hardwood shavings
MPG321X00S1 Softwood sawdust
MPG321X00S2 Softwood shavings
MPG321X00X1 Waste and scrap of wood
MPG321X00X2 Hog fuel
MPG322101 Wood pulp MPG322101H1 Sulphate hardwood pulp (including soda)
MPG322101S1 Sulphate softwood pulp (including soda)
MPG322101X1 Other wood pulp
ENE32A000 Solid fuel products, n.e.c. ENE32A000X1 Fuel products of wood waste
ENE32A000X2 Other solid fuel products, n.e.c.

There are 28 other products within the SLSA but these products are equivalent to the products in the benchmark CSUT. They include contract logging services, hardwood and softwood lumber, as well as paper and paperboard products, among others.

The nine final demand categories delineate household final consumption (PEC00), non-profit institution and government final consumption (CE000), gross fixed capital formation (GFCF0), changes in inventories (INV00) and trade: international exports (INTEX), international re-exports (INTRX), international imports (INTIM), interprovincial exports (IPTEX) and interprovincial imports (IPTIM).

Data sources and methodology

The SLSA is based on two key Statistics Canada data products: the Annual Survey of Manufacturing and Logging (ASML)Note 4 and customs and balance of payments data from the International Accounts and Trade Division (IATD). The ASML is the core information used to build the industries in the SLSA (other than the construction industries). The IATD data are used to generate international imports and exports estimates.

To generate the SLSA industry estimates, ASML information must be transformed and adjusted to align with macroeconomic concepts. This introduces differences between what is published as part of the ASML principal statisticsNote 5 and what is captured in the Satellite Account. Conceptually, the Satellite Account covers operating activities, whereas several of the ASML principal statistics include non-operating revenues and expenses. Furthermore, valuation adjustments are made to inventories in national accounts, which are not made in the survey data. Methodologically, some items are combined and presented differently. For example, finished goods inventory changes are netted out against sales revenues as part of Satellite Account output. Purchases of goods for resale are netted out against sales of goods for resale and called a margin output in the SUT.

The Satellite Account incorporates published ASML and IATD data for all reference years. For reference year 2013, the benchmark CSUTs were used to anchor the estimates and provide the contextual information for the economy as a whole. For 2014 and 2015, the benchmark CSUTs were not available, so GDP aggregates from the Provincial and Territorial Economic Accounts were relied upon to anchor the economy-wide totals.Note 6

Once the industry estimates are generated and benchmark GDP information has been compiled, the remaining elements of supply and use are added: trade and transport margins and taxes on products, international and interprovincial imports and exports, household and government consumption, and investment information. Each of these elements begins with source information and then allocates to products using concordances. For example, international trade data are primarily sourced from customs data collected using the Harmonized System (HS). The HS is at an even more detailed level than the Satellite Account products and is thus merely a process of aggregating data.

Once initial estimates have been generated and the data have been adjusted to international macroeconomic accounting concepts, the data are integrated into the supply and use framework and two key accounting identities are reconciled:

  1. Supply = use, across all products; and
  2. Outputs = inputs, for each industry.

In practice, source data and estimation methods do not generate estimates that satisfy these constraints. These constraints are satisfied through an iterative process known as product balancing.Note 7 During this process, the strengths and weaknesses of all data sources are assessed and adjustments are made to reconcile the different sources of information. By the end of this process, inconsistencies have been identified, feedback has been made to source data providers and the constraints have been satisfied. The result is a completely coherent set of information for the industries and products compiled.

Quality assurance in the SLSA

The product balancing technique is one of several key data quality assurance practices and procedures undertaken in SUT compilation. Others include:

Ensuring enterprise coherence

In a statistical system, large companies are generally divided into operating segments whose data are collected from different sources (e.g. surveys). Aggregate survey data can be cross-checked with corporate tax filings or a company's annual reports to ensure that the trends and levels are coherent and that they conform to expectations concerning the trends.

Confirming industry dynamics

When company financial information is aggregated and converted to national accounting concepts, the ratios of inputs to outputs can be compared in either real or nominal terms. The expectation is that these ratios should not change dramatically over a one-year period (certainly in real terms) without a significant economic event accounting for the change (e.g., exit or entry of a significantly different firm, technological change, large variations in relative prices of inputs or outputs).

Analyzing time series

Since the SUTs are compiled with tremendous detail, one can compare many different series over time. Do total outputs change dramatically from one year to the next? Can price fluctuations account for these changes? Does a certain input or output product change over time? If so, have the production processes of the dominant companies changed? Do output volumes follow a trend similar to that of export volumes? In all cases, viewing each of these elements independently, then cross-checking against secondary sources, greatly enhances confidence in the underlying data.

Comparing with external information

All the above checks can be done with reference to external information as well. Annual reports, company websites, association websites and news articles all describe the economic events of a given year and can help shed light on the trends presented by source data.

Results

The SLSA provides a wealth of information at a detailed level. What follows are just some of the possible tabulations from the account. The added value associated with the core SLSA industries (BS113, BS1153, BS321, BS322, i.e. excluding construction and all other industries) is small relative to the total economy.

Table A1
Value added, core SLSA industries (excluding construction and all other industries), thousands of dollars
Table summary
This table displays the results of Value added 2013, 2014 and 2015 (appearing as column headers).
  2013 2014 2015
Value Added Forestry and Related Core 20,410,218 20,692,003 22,226,634
Value Added Total Economy 1,777,213,062 1,858,113,000 1,855,439,000
Value Added Share 1.1% 1.1% 1.2%

However, this view might understate the importance of this added value; when we look at the value of exports, we see that the sector contributes over 5% of the total economy exports.

Table A2
Total exports, core SLSA products, thousands of dollars
Table summary
This table displays the results of Total exports 2013, 2014 and 2015 (appearing as column headers).
  2013 2014 2015
Total Exports Forestry and Related 29,267,641 31,913,399 34,046,064
Exports Total Economy 543,809,590 626,019,059 626,969,754
Share of Exports 5.4% 5.1% 5.4%

As a share of total output, again, the core industries represent a relatively small share of the total output of the economy.

Table A3
Total output, core SLSA industries (excluding construction and all other industries), thousands of dollars
Table summary
This table displays the results of Total output 2013, 2014 and 2015 (appearing as column headers).
  2013 2014 2015
Output Forestry and Related Core 62,725,725 66,133,142 68,747,044
Output Total Economy 3,353,163,046 3,658,815,309 3,686,395,636
Output Share 1.9% 1.8% 1.9%

The value added across the core industries nears $20 billion and is increasing over the time period. The value added to output ratio remains relatively stable.

Table A4
Value added and ratio-to-output – Core SLSA industries (excluding construction and all other industries, thousands of dollars
Table summary
This table displays the results of Value added and ratio-to-output – Core SLSA industries (excluding construction and all other industries 2013, 2014 and 2015 (appearing as column headers).
  2013 2014 2015
Value Added 20,410,218 20,692,003 22,226,634
Value Added Ratio 33% 31% 32%

The importance of contract loggers is highlighted in the following table, where their output exceeds that of non-contract loggers in two of the three years studied.

Table A5
Total output and output shares, logging and contract logging industries, thousands of dollars
Table summary
This table displays the results of Total output and output shares 2013, 2014 and 2015 (appearing as column headers).
  2013 2014 2015
BS113311 – Logging (except contract) 4,408,253 4,616,673 5,045,647
BS113312 – Contract Logging 4,974,886 5,270,118 4,873,763
BS113311 – Logging (except contract) 47% 47% 51%
BS113312 – Contract Logging 53% 53% 49%

International exports increased strongly over the period, with gains experienced by most provinces. The provincial distribution highlights the clear concentration of the exports originating in Quebec, Ontario and British Columbia.

Table A6
International exports by province and provincial shares, core SLSA products, thousands of dollars
Table summary
This table displays the results of International exports by province and provincial shares – Core SLSA products. The information is grouped by Province (appearing as row headers), 2013, 2014 and 2015 (appearing as column headers).
Province 2013 2014 2015 2013 2014 2015
Newfoundland and Labrador 121,700 170,121 166,735 0% 1% 0%
Prince Edward Island 546 2,114 2,300 0% 0% 0%
Nova Scotia 562,435 607,642 639,352 2% 2% 2%
New Brunswick 1,610,322 1,660,026 1,727,752 6% 5% 5%
Quebec 7,891,830 8,709,671 9,291,092 27% 27% 27%
Ontario 4,375,118 4,861,845 5,483,521 15% 15% 16%
Manitoba 352,321 418,239 423,741 1% 1% 1%
Saskatchewan 453,139 430,696 433,591 2% 1% 1%
Alberta 2,552,579 2,748,593 3,124,990 9% 9% 9%
British Columbia 11,346,944 12,304,174 12,752,658 39% 39% 37%
Yukon 686 274 326 0% 0% 0%
Northwest Territories 21 4 5 0% 0% 0%
Nunavut 0 0 1 0% 0% 0%
Canada 29,267,641 31,913,399 34,046,064 100% 100% 100%

The following table highlights the importance of the SLSA commodities in terms of a province's total exports. For British Columbia, these products are a very important share of total exports.

Table A7
SLSA products as a share of total provincial international exports by province
Table summary
This table displays the results of SLSA products as a share of total provincial international exports by province. The information is grouped by Province (appearing as row headers), 2013, 2014 and 2015 (appearing as column headers).
Province 2013 2014 2015
Newfoundland and Labrador 0.9% 1.2% 1.6%
Prince Edward Island 0.1% 0.2% 0.2%
Nova Scotia 9.0% 8.5% 8.7%
New Brunswick 10.7% 10.8% 10.8%
Quebec 8.9% 8.7% 8.6%
Ontario 2.1% 1.9% 2.0%
Manitoba 2.5% 2.7% 2.5%
Saskatchewan 1.4% 1.2% 1.4%
Alberta 2.3% 2.1% 3.0%
British Columbia 23.7% 23.2% 23.1%
Yukon 0.2% 0.1% 0.1%
Northwest Territories 0.0% 0.0% 0.0%
Nunavut 0.0% 0.0% 0.0%
Canada 5.4% 5.1% 5.4%

As expected, sawmills are the dominant portion of NAICS 3211. When split in the Satellite Account, the other industries represent less than 10% of value added for the group.

Table A8
Value added and value added shares, thousands of dollars
Table summary
This table displays the results of Value added and value added shares 2013, 2014 and 2015 (appearing as column headers).
  2013 2014 2015
BS321111 – Sawmills (except shingle and shake mills) 3,626,320 3,673,835 3,806,598
BS321112 – Shingle and shake mills 124,330 124,473 121,795
BS321114 – Wood preservation 218,711 191,841 229,771
BS321111 – Sawmills (except shingle and shake mills) 91% 92% 92%
BS321112 – Shingle and shake mills 3% 3% 3%
BS321114 – Wood preservation 6% 5% 5%

Canada is a large net exporter of forestry-related products. Our imports are primarily products further down the supply chain; for example, converted paper products (MPG322209) range from $1.8 billion in 2013 to $2.2 billion in 2015, paper (MPG322102) ranges from $1.7 billion in 2013 to $1.9 billion in 2015 and disposable diapers and feminine products range from $0.6 billion in 2013 to $0.8 billion in 2015.

Table A9
International exports and imports of core SLSA products, thousands of dollars
Table summary
This table displays the results of International exports and imports of core SLSA products (excluding all other industries) 2013, 2014 and 2015 (appearing as column headers).
  2013 2014 2015
International Exports 29,267,641 31,913,399 34,046,064
International Imports 10,803,645 11,674,258 12,851,092

As expected, the value of Canadian production of softwood logs far outweighs that of hardwood logs. The dominance of softwood over hardwood products occurs in every product split along these lines.

Table A10
Output of logs – All SLSA industries, all provinces, thousands of dollars
Table summary
This table displays the results of Output of logs – All SLSA industries 2013, 2014 and 2015 (appearing as column headers).
  2013 2014 2015
MPG113001H1 - Hardwood logs and bolts (except fuel wood and pulpwood) 255,315 183,809 221,405
MPG113001S1 - Softwood logs and bolts (except fuel wood and pulpwood) 3,295,843 3,246,018 3,277,062

Softwood chips are an extremely important input into the pulp and paper industry. They are valued at over $2 billion and make up over 20% of total intermediate inputs.

Table A11
Intermediate use of softwood chips (MPG321103S1) in the pulp and paper industry (BS322100), thousands of dollars
Table summary
This table displays the results of Intermediate use of softwood chips (MPG321103S1) in the pulp and paper industry (BS322100) 2013, 2014 and 2015 (appearing as column headers).
  2013 2014 2015
Value 2,246,509 2,636,799 2,804,241
Percent of Intermediate Inputs 21% 23% 23%

Overall, the sector is small relative to total national economic activity, but its importance as an export sector is more significant and this significance varies across provinces. In terms of both output and exports, softwood products are far more important than hardwood products, although there are dedicated mills processing all types of products extracted from Canadian forests.

The SLSA provides detailed information on the sector that is not available in other official statistics. It provides more granular information for certain industries and products and it situates the sector in the context of total economic activity. It provides a better understanding of the structure of the sector and how this varies from one province to another. Many more observations and tabulations can be generated from the SLSA to expose the complexity and interconnectedness of the Canadian forestry sector. Readers are encouraged to explore the detailed tables accompanying the release.

Travel Survey of Residents of Canada: C.V. Results for TSRC Q3 2017

Travel Survey of Residents of Canada: C.V. Results for TSRC Q3 2017
Table summary
This table displays the results of C.V. Results for TSRC Q3 2017. The information is grouped by Province (appearing as row headers), Total Spending C.V. and Person-Trips C.V. (appearing as column headers).
Province Total Spending C.V. Person-Trips C.V.
%
Newfoundland and Labrador 14.7 6.5
Prince Edward Island 13.8 9.2
Nova Scotia 8.6 5.7
New Brunswick 9.9 6.0
Quebec  5.8 4.2
Ontario 4.6 4.0
Manitoba 7.8 7.7
Saskatchewan 7.2 5.6
Alberta 7.7 5.6
British Columbia 8.6 5.4
Canada 3.3 2.1

Tourism and the Centre for Education Statistics Division, Statistics Canada

Table of Contents

Authority to Collect Data

The information requested in this survey is collected under the authority of the Statistics Act, Revised Statutes of Canada, 1985, Chapter S19. This survey is mandatory in accordance with the Statistics Act.

This survey is the only source of national level information on full-time teaching staff in degree granting institutions, and is used by a variety of provincial, federal and international organizations in system wide studies.

Statistics Canada is prohibited by law from publishing any statistics which would divulge information obtained from this survey that relates to any identifiable individual. The confidentiality provisions of the Statistics Act are not affected by either the Access to Information Act or any other legislation. Additionally, the data from this survey will only be published and made available to the public, for any given institution, once a signed authorization is returned to Statistics Canada by that institution.

Coverage

Data should be submitted for all full-time teaching staff employed in public or private degree granting institutions that receive funding from a provincial or territorial ministry of education and/or are a member of the CAUBO survey as of October 1 of the reporting year. As well, please include full-time research staff who have an academic rank and a salary scale similar to teaching staff. The affiliates and other related colleges of these institutions may be reported by the parent institution or independently.

This survey includes full-time teaching staff that spend the majority of their teaching time on credit courses leading to degree programs (as opposed to continuing education courses, special interest courses or courses in a program that do not lead to a degree).

Full-time include:

  1. Staff appointed on a full-time basis whose term of appointment is not less than twelve months (include any staff member on leave).
  2. New appointees hired on a full-time basis whose term of contract is twelve months but for the first year he/she can only be at the institution for less than twelve months.
  3. Staff who were appointed to teach full-time (12 months or more) and at a later date have entered into a formal agreement with the institution to work on a reduced load basis. This situation usually arises with staff members who are approaching retirement.

Teaching staff included in the survey:

  1. All academic staff within faculties (colleges, schools, etc.) who are full-time teachers, researchers (meeting with above criteria), and/or senior academic staff, i.e., Deans, Chairperson, Directors etc.
  2. All full-time teachers within faculties, whether or not they hold an academic rank.
  3. Full-time academic staff in teaching hospitals (see element 25 for more detail).
  4. Visiting full-time academic staff in faculties.
  5. Full-time research staffs that have an academic rank and a salary scale similar to teaching staff.

Staff excluded from this survey:

  1. Administrators solely responsible for university administration, i.e., president, vice-president, registrar, comptroller, etc.
  2. Administrative assistants within faculties (colleges, schools, etc.).
  3. Librarians.
  4. Non-academic support staff both in faculties (college, school, etc.) and other university departments.
  5. Markers, demonstrators, lab assistants, etc.
  6. Graduate teaching assistants.
  7. Postdoctoral fellows.
  8. Academic staff within faculties (colleges, schools, etc.) who have been hired as researchers without academic rank and/or whose salary scales are different from teaching staff.

Reporting Options

Data may be submitted in two ways:

  1. Statistics Canada provides the institutions with individual data for each teaching staff member according to the previous year's data (in EXCEL format) for updating by the institution. The data elements will be arranged in the same order as the record layout. Please do not change or adjust the order of the data elements.

    Updating Instructions:

    Returning teaching staff: any data elements that changed since the last survey are to be updated. Elements that typically change from year to year are: actual salary, annual rate of salary, stipends, responsibility code, reduced load, number of months on sabbatical and unpaid leave. Elements that change less frequently include: level of highest earned degree, year of highest degree, province/country of highest degree, rank, year of appointment to present rank at current institution and subject taught.

    New teaching staff: Institutions are required to provide all data elements for each new teaching staff reported.

    Non–returning staff: Please delete

  2. Institutions can send to Statistics Canada individual data for each full-time teaching staff member in an EXCEL format. Please use the codes provided in this manual, and list the data elements in the order they appear in the record layout provided in the data element manual. The record layout is provided on page 6.

Reporting Date

Most data elements in this survey are to be reported as of October 1 (a "snap shot" survey type). However, the following data elements are not conceptually a snapshot and must be reported on a 12 months basis: number of months on sabbatical and unpaid leave, reduced load, and actual salary.

Further Information

Please direct inquiries to:

Ms. Teresa Omiecinski
Analyst and Survey Manager
(613) 404-6155
E-mail: Teresa.Omiecinski@statcan.gc.ca

or

Darrin Johnstone
Production Manager

(613) 883-2857
E-mail: Darrin.Johnstone@statcan.gc.ca

 

FT-UCASS
Education Finance and Academic Staff Section
Tourism and the Centre for Education Statistics Division
RH Coats Building, 13th floor
100 Tunney's Pasture Driveway
Statistics Canada
Ottawa, Ontario K1A 0T6

Table 1: Record layout
Size Position Type Title
8 1 to 8 N Reporting institution
9 9 to 17 AN Permanent identification number
1 18 N Gender
4 19 to 22 N Year of birth
2 23 to 24 N Department
1 25 N Salary status
7 26 to 32 N Actual salary
7 33 to 39 N Annual rate of salary
6 40 to 45 N Administrative stipends
1 46 N Senior administrative responsibilities, reseachers and visitors
2 47 to 48 N Number of months on sabbatical leave during the current academic year
2 49 to 50 N Number of months of unpaid leave during the current academic year
2 51 to 52 N Reduced load
2 53 to 54 N Previous employment
5 55 to 59 N Province or country of previous employment
4 60 to 63 N Year of first degree
5 64 to 68 N Province or country of first degree
1 69 N Level of highest earned degree
4 70 to 73 N Year of highest earned degree
5 74 to 78 N Province or country of highest degree
5 79 to 83 N Country of citizenship at time of appointment
1 84 N Rank
4 85 to 88 N Year of appointment to present rank
1 89 N Type of appointment
1 90 N Medical or dental appointment category
4 91 to 94 N Year of appointment to institution
4 95 to 98 N Principal subject taught

Survey Elements

Element 01: Reporting Institution

Description:

An 8 digit code assigned by Statistics Canada to identify the reporting institution.

Notes:

The codes previously used in FT-UCASS have been replaced with codes used by many surveys within Statistics Canada including the Postsecondary Student Information System (PSIS), Tuition and Living Accommodation Costs Survey (TLAC) and others.

These codes are structured as follows:

  • Digits 1-2: Province in which the institution is located
  • Digits 3-5: Institution
  • Digits 6-8: Campus (if applicable)

Codes:

Please see the following pages for a list of institution codes.

Table 2: List of institutions
Code Institution Name
Newfoundland
10001000 Memorial University of Newfoundland
Prince Edward Island
11001000 University of Prince Edward Island
Nova Scotia
12001000 Acadia University
12001002 Acadia Divinity College
12002000 Atlantic School of Theology
12003000 Cape Breton University
12004000 Dalhousie University
12005000 University of King's College
12006000 Mount Saint Vincent University
12008000 NSCAD University
12010000 Université Sainte-Anne
12011000 St. Francis Xavier University
12012000 Saint Mary's University
New Brunswick
13002000 Mount Allison University
13003000 University of New Brunswick
13004001 Université de Moncton, Campus de Moncton
13004002 Université de Moncton, Campus de Shippagan
13004003 Université de Moncton, Campus d'Edmundston
13005000 St. Thomas University
Quebec
24001000 Bishop's University
24002000 McGill University
24003000 Université de Montréal
24003002 École Polytechnique de Montréal
24003003 École des hautes études commerciales
24005000 Université Laval
24006000 Université de Sherbrooke
24007000 Concordia University
24008000 Université du Québec à Chicoutimi
24009000 Université du Québec à Montréal
24010000 Université du Québec en Abitibi-Témiscamingue
24011000 Université du Québec à Trois-Rivières
24012000 Université du Québec en Outaouais
24013000 Université du Québec, École nationale d'administration publique (ENAP)
24014000 Université du Québec, Institut national de la recherche scientifique
24015000 Université du Québec à Rimouski
24016000 Université du Québec, École de technologie supérieure
24017000 Université du Québec, Télé-université du Québec (TÉLUQ)
Ontario
35001000 Brock University
35001003 Concordia Lutheran Theological Seminary
35002000 Carleton University
35003000 Collège Dominicain de Philosophie et Théologie
35004000 University of Guelph
35005000 Lakehead University
35006000 Laurentian University of Sudbury/Université Laurentienne de Sudbury
35006003 Université de Hearst
35006004 Huntington University
35006005 University of Sudbury
35006006 Thorneloe University
35007000 McMaster University
35008000 Nipissing University
35010000 University of Ottawa/Université d'Ottawa
35010002 Université Saint-Paul
35011000 Queen's University
35014000 Ryerson University
35015000 University of Toronto
35015004 St. Augustine's Seminary
35015005 University of St. Michael's College
35015006 University of Trinity College
35015007 Victoria University
35015008 Knox College
35015009 Wycliffe College
35015011 Regis College
35016000 Trent University
35017000 University of Waterloo
35017002 St. Jerome's University
35017004 Conrad Grebel University College
35018000 University of Western Ontario
35018002 Brescia University College
35018003 Huron University College
35018004 King's College
35019000 Wilfrid Laurier University
35020000 University of Windsor
35021000 York University
35022000 Ontario College of Art and Design
35023000 University of Ontario Institute of Technology
35024000 Algoma University College
Manitoba
46001000 Brandon University
46002000 Canadian Mennonite University
46005000 University of Manitoba
46005002 Université de Saint-Boniface
46005002 Collège universitaire de Saint-Boniface
46005003 Saint Andrew's College – University of Manitoba
46006000 University of Winnipeg
Saskatchewan
47004000 University of Regina
47004002 Campion College
47004003 Luther College
47004004 First Nations University of Canada
47005000 University of Saskatchewan
47005005 St. Thomas More College
47031000 College of Emmanuel and St. Chad
47032000 Lutheran Theological Seminary
47033000 St. Andrew's College – University of Saskatchewan
47034000 Horizon College & Seminary
Alberta
48001000 University of Alberta
48002000 Athabasca University
48005000 University of Calgary
48007000 Canadian University College
48008000 Concordia University College of Alberta
48009000 University of Lethbridge
48011000 The King's University College
48014000 Ambrose University College
48015000 Grant MacEwan University
48029000 Mount Royal University
British Columbia
59001000 University of British Columbia
59002000 University of Northern British Columbia
59005000 Royal Roads University
59007000 Simon Fraser University
59009000 University of Victoria
59048000 Thompson Rivers University
59049000 Capilano University
59052000 Emily Carr University of Art and Design
59051000 Vancouver Island University
59053000 Kwantlen Polytechnic University
59054000 University of the Fraser Valley

Element 02: Permanent Identification Number

Description:

A nine digit code chosen by the institution which identifies each staff member.

Notes:

This code should be unique, never be re-assigned and remain the same from year to year for each individual staff member. Examples of codes used by institutions are social insurance number, payroll number etc.

Alpha-numeric codes may be used.

Please ensure that there are no duplicate permanent identification numbers.

This element must not be blank.

Codes:

As assigned by the institution.

Element 03: Gender

Description:

A one digit element to report the gender of the staff member.

Codes:

1. Male

2. Female

Element 04: Year of Birth

Description:

A four digit element to report the staff member's year of birth.

Codes:

  • Four digits of the year of birth.
  • 9999. Unknown.

Element 05: Department

Description:

A two digit code to report the department to which the staff member is appointed.

Notes:

Please note that previously, reporting on this data element was optional but is now mandatory.

Please report the department using the 2 digit CIP codes listed on the following pages. For further assistance on determining the correct codes, please consult the full version of the CIP coding manual for a more detailed description.

For cross appointments, please report that department in which the staff member spends the majority of their time.

Codes:

The list of 2 digit CIP codes is given on the following pages.

Table 3: List of Department codes
Code Title Description
01 Agriculture, Agriculture Operations and Related Sciences This series focuses on agriculture and related sciences and the management and performance of agricultural operations.
03 Natural Resources and Conservation This series focuses on the various natural resources and conservation fields.
04 Architecture and Related Services This series focuses on the various architecture-related fields and the study of related aesthetic and socioeconomic aspects of the built environment.
05 Area, Ethnic, Cultural and Gender Studies This series focuses on defined areas, regions, and countries of the world; defined minority groups within and across societies; and issues relevant to collective gender experience.
09 Communication, Journalism and Related Programs This series focuses on how messages in various media are produced, used, and interpreted within and across different contexts, channels, and cultures.
11 Computer and Information Sciences and Support Services This series focuses on the computer and information sciences.
13 Education This series focuses on the theory and practice of learning and teaching, and related research, administrative and support services.
14 Engineering This series focuses on the mathematical and scientific principles to the solution of practical problems.
15 Engineering Technologies/Technicians This series focuses on the application of basic engineering principles and technical skills in support of engineering and related projects.
16 Aboriginal and Foreign Languages, Literatures and Linguistics This series focuses on foreign languages and literatures, the humanistic and scientific study of linguistics, and the provision of professional interpretation and translation services.
19 Family and Consumer Sciences/Human Sciences This series focuses on the human interface with the physical, social, emotional, and intellectual environments and the developmental stages and needs of individuals in the interrelated spheres of family, workplace, and community.
22 Legal Professions and Studies This series focuses on the preparation for the legal profession, for related support professions and professional legal research as well as the study of legal issues in non-professional programs.
23 English Language and Literature/Letters This series focuses on the structure and use of the English language and dialects, speech, writing, and various aspects of the literatures and cultures of the English-speaking peoples.
24 Liberal Arts and Sciences, General Studies and Humanities This series comprises general instructional programs and independent or individualized studies in the liberal arts subjects, the humanities disciplines and the general curriculum.
25 Library Science This series focuses on the knowledge and skills required for managing and/or maintaining libraries and related information and record systems, collections and facilities for research and general use.
26 Biological and Biomedical Sciences This series focuses on the biological sciences and the non-clinical biomedical sciences, and that prepares individuals for research and professional careers as biologists and biomedical scientists.
27 Mathematics and Statistics This series focuses on the systematic study of logical symbolic language and its applications.
28 Reserve Entry Scheme for Officers in the Armed Forces This series focuses on the training of officer cadets and officers in the armed forces.
29 Military Technologies This focuses on specialized and advanced subject matter for the armed services and related national security organizations.
30 Multidisciplinary/Interdisciplinary Studies This series focuses on a subject concentration that is not subsumed under a single discipline or occupational field.
31 Parks, Recreation, Leisure and Fitness Studies This series focuses on the principles and practices of managing parks and other recreational and fitness facilities; providing recreational, leisure and fitness services; and the study of human fitness.
38 Philosophy and Religious Studies This series focuses on logical inquiry, philosophical analysis, and the academic study of organized systems of belief and religious practices.
39 Theology and Religious Vocations This series focuses on the intramural study of theology and the preparation for the professional practice of religious vocations.
40 Physical Sciences This series focuses on the scientific study of inanimate objects, processes of matter and energy, and associated phenomena.
42 Psychology This series focuses on the scientific study of the behaviour of individuals, independently or collectively, and the physical and environmental bases of mental, emotional, and neurological activity.
43 Security and Protective Services This series focuses on the principles and procedures for providing police, fire,and other safety services and managing penal institutions.
44 Public Administration and Social Service Professions This series focuses on the analysis, management, and delivery of public programs and services.
45 Social Sciences This series focuses on the systematic study of social systems, social institutions, and social behaviour.
50 Visual and Performing Arts This series focuses on the creation and interpretation of works and performances that use auditory, kinesthetic, and visual phenomena to express ideas and emotions in various forms, subject to aesthetic criteria.
51 Health Professions and Related Clinical Sciences This series focuses on the preparation of individuals to practice as licensed professionals and assistants in the health care professions and focuses on the study of related clinical sciences.
52 Business, Management, Marketing and Related Support Services This series focuses on the managerial, technical support, and applied research functions related to the operation of commercial and non-profit enterprises and the buying and selling of goods and services.
54 History This series focuses on the study and interpretation of past events, institutions, issues, and cultures.
55 French Language and Literature/Letters This series focuses on the structure and use of the French language and dialects, speech, writing, and various aspects of the literatures and cultures of the French-speaking peoples.
60 Dental, Medical and Veterinary Residency Programs This series comprises residency programs in various dental, medical, and veterinary specializations offered in teaching hospitals and similar locations, that may lead to advanced professional certification. Residency programs that also result in an academic degree completion, such as an MSc or a PhD, should be reported in series 26. Biological and Biomedical Sciences or in series 51. Health Professions and Related Clinical Sciences.

Element 06: Salary Status

Description:

A one digit element to identify the salary status of the staff members.

Codes:

1. Staff members who are paid according to regular salary scales. This can include lay or religious staff.

2. All staff members paid according to salary scales that are lower than regular salary scales. This can include religious, military or other staff.

Element 07: Actual Salary

Description:

A seven digit element to report the actual gross salary (including vacation pay) that the staff member is expected to receive during the salary year.

Please exclude stipends or other honoraria for administrative duties. Any extra payments such as those received for summer employment, extension work, or others are also to be excluded.

Notes: Please note that every staff member should have an actual salary reported.

The reported actual salary should reflect new negotiated settlement applicable as of October 1 and should not include expected increases or adjustments which may become effective at later date. If salaries are not negotiated by that date, please report the new negotiated settlement applicable to October 1, when they become known.

For medical/dental staff, it is understood that, in most cases, the institution itself, provincial medical care institutions (e.g. hospitals) and/or medical care plan contribute to the staff member's salary at an agreed upon ratio. In some institutions, staff receive all their remuneration directly from the university and the university bills the hospital (or medical care plan) for the latter's share. In other cases, the staff member receives remuneration from the university, the hospitals and/or medical care plan. In order to keep the actual salary reported as comparable as possible among institutions, please include, for medical/dental staff, both the university contribution and the contribution by hospitals and/or medical care plans (excluding special grants, fees for services to patients, guarantees, etc.).

The following elements will affect the actual salary:

  1. Element 11: "Sabbatical Leave": For example, if the staff member had a non 100% reimbursed sabbatical leave, it is expected that the actual salary reported would be reduced.
  2. Element 12: "Number of months on unpaid leave". For example, if the staff member took 6 months of unpaid leave, it is expected that the actual salary would by reduced by 50%.
  3. Element 13: "Reduced Load". For example, if a staff member had a 75% load reduction, it is expected that the actual salary would be reduced by that amount.

Exclusions:

Administrative stipends and other honorarium for administrative duties.

Research grants.

Extra payments such as those for overload, extension and summer employment.

Codes:

Seven digit numeric value

0000000. Only those staff who are on leave without pay for the whole salary year or staff who do not receive an allowance or salary.

Element 08: Annual Rate of Salary

Description:

A seven digit element to report the annual gross salary (including vacation pay) the staff member is expected to receive during the salary year.

Please exclude stipends or other honoraria for administrative duties. Any extra payments such as those received for summer employment, extension work, or others are also to be excluded.

Notes:

The reported annual rate of salary should reflect new negotiated settlement applicable as of October 1 and should not include expected increases or adjustment which may become effective at later date. If salaries are not negotiated by that date, please report the new negotiated settlement applicable to October 1, when they become known.

For those staff on sabbatical leave or unpaid leave, please report the annual gross salary that would have been paid had the staff member not gone on leave. The same applies to those professors who are on a reduced load; please report the annual gross salary that would have been paid had the staff member not been on a reduced load.

The "Annual Rate of Salary" will be the same as the "Actual Rate of Salary" (Element 7) where the staff member is employed for the full 12 months of the year and is not on an unpaid leave, reduced load or 100% non-reimbursed sabbatical leave.

For medical/dental staff, please report (on an annual rate basis), the staff member's income from all sources including operating and trust funds of the university, hospitals and/or medical care plans, and special grants from health or research agencies but excluding fees for service to patients and guarantees. The reported income should relate to the university appointment and not to outside activities unrelated to this appointment.

Exclusions:

Administrative stipends and other honorarium for administrative duties.

Research grants.

Extra payments such as those for overload, extension and summer employment.

Codes:

Seven digit numeric value

Please report the salary even if it is the same as that reported in element 07.

0000000. Staff who do not receive an allowance or salary.

Element 09: Administrative Stipends

Description:

A six digit element to report annual stipend or other honorarium paid to the staff member for administrative duties.

Notes:

Please include only those annual stipends and other honorarium that are received for administrative duties only. Payments given to the staff member for non-administrative duties are not to be included.

This element is related to "Element 10: Senior Administrative Responsibilities – Researchers and Visitors". If a staff member is coded as having a senior administrative responsibilities in Element 10 (i.e. codes 1 to 5 and 9), then it is expected that they will receive an administrative stipend. The exception is where other arrangements are made for re-imbursement, in which case this element should be coded as "999999". Examples of where the stipend should be reported as "999999":

  • It is included in their salary,
  • They are given course relief,
  • The payment is made to their research fund etc.

Exclusions:

  1. Funds received for research grants such as Canada Research Chairs and others.
  2. Stipends received for non-administrative duties.

Codes:

Six digit numeric value.

000000. If the staff member does not have administrative duties.

999999. If the staff member has administrative duties but does not receive a separate stipend.

Element 10: Senior Administrative Responsibilities, Researchers and Visitors

Description:

A one digit code to report researchers, visitors and those staff members with senior administrative responsibilities.

Notes:

Please report all staff members holding senior administrative positions, including those in an acting capacity

All visiting staff are to be coded 6 or 8 regardless of their responsibilities. Please note that they should be coded 4 in element 24: "Type of Appointment".

All research staff who have an academic rank and are paid according to regular salary scales, should be coded 7 or 8.

It is expected that an administrative stipend would be reported (in element 09) for those staff who are coded as 1 to 5, and in some cases code 9.

Codes:

0. Teacher with no senior administrative duties

1. Dean

2. Assistant dean, associate dean, vice-dean

3. Director whose responsibilities and salary are equivalent to those of a dean. Those directors not equivalent to deans would be coded as 4 .

4. Director, department head, coordinator

5. Chairperson

6. Visitor with teaching responsibilities e.g., staff with a permanent affiliation to another university or organization

7. Researchers - non-visitors. Researchers are defined as full-time research staff who have an academic rank and a salary scale similar to teaching staff. Please note that their subject taught should be coded as 9998

8. Researchers – visitors. Researchers are defined as full-time research staff who have an academic rank and a salary scale similar to teaching staff. Please note that their subject taught should be coded as 9998

9. Assistant and associate director, assistant or associate department head, assistant or associate coordinator, assistant or associate chairperson and any other.

Element 11: Number of Months on Sabbatical Leave* During the Current Academic Year

Description:

A 2 digit element to report the number of months on sabbatical leave.

Notes:

This element requests information on leave that relates to the full academic year and as approved by the time the institution reports to Statistics Canada.

Codes: Two digits indicating the Number of months on sabbatical leave during the academic year.

* As approved by the time institution reports to Statistics Canada.

Element 12: Number of Months on Unpaid Leave * During the Current Academic Year

Description:

A 2 digit element, to report the number of months on unpaid leave.

Notes:

This element requests information on leave that relates to the full academic year and as approved by the time the institution reports to Statistics Canada.

Codes:

Two digits indicating the number of months on unpaid leave during the academic year.

* As approved by the time institution reports to Statistics Canada.

Element 13: Reduced Load

Description:

A two digit element to report the intensity of a reduced load carried by a full-time teacher.

Notes:

This applies to full-time staff members who have entered into a formal agreement with the institution to carry his/her duties on a reduced load, for the whole year or that part of the year not on leave.

Please report the intensity of the load

For staff members on reduced load, the actual salary (element 07) must be lower than the annual rate of salary (element 08). For example, if the intensity of the load is 75% for 12 months, we would expect the actual salary to be 75% of the annual rate of salary.

For staff members not on reduced load, use code 00.

Codes:

10 to 95. Possible reported Work Load values.

00. Staff members not on a reduced load.

Example: If, according to contract terms, a staff member is on 75% work load, indicate 75 in this element.

Element 14: Previous Employment

Description:

A two digit element, to report the staff member's employment/occupation that they held immediately prior to their appointment (or reappointment) to the institution.

Notes:

The employment/occupation that the staff member held immediately prior to the appointment year specified in Element 26.

Codes:

01. University: Teaching or non-teaching position at a university or affiliated college, or other educational institution where teaching is defined as set out in the introduction to this manual (page 3: "Coverage").

02. Non-university: Teaching or non-teaching position at other educational institutions (including community colleges).

03. Student (including postdoctoral fellows).

04. Public sector: Employment in a government department or agency. This includes hospitals and other publicly funded clinics or other organized health care agency and the military.

05. Private sector: Employment in the private sector (including those that are self employed).

06. Other

99. Unknown

Element 15: Province or Country of Previous Employment

Description:

Please report the province in which the staff member held the position of his employment (occupation) immediately prior to being appointed (reappointed) to the institution. If outside of Canada, please report country.

Notes:

An alphabetical listing of province and country codes is presented on the following pages. A listing of country codes in numerical order is also available, by contacting the subject analyst (co-ordinates found on page 6). These codes are consistent with the codes used by a number of Statistics Canada surveys such as Postsecondary Student Information System (PSIS) and others.

If a country code does not appear on the list, please contact the subject matter analyst (co-ordinates on page 6).

Codes:

Please use the following pages for a list of the Province and Country

99999. Unknown

Table 4: Alphabetical Listing of Country Codes
Country Name Code
Afghanistan 00742
Albania 01353
Algeria 01611
American Samoa 01962
Andorra 02253
Angola 02512
Anguilla 02623
Antigua and Barbuda 02823
Argentina 03131
Armenia 03253
Aruba 02923
Australia 03461
Austria 03752
Azerbaijan 03953
Bahamas 04023
Bahrain 04341
Bangladesh 04542
Barbados 04623
Belarus 05052
Belgium 05551
Belize 07322
Benin 16912
Bermuda 05821
Bhutan 06142
Bolivia 06431
Bosnia and Herzegovina 06653
Botswana 06512
Bouvet Island 17012
Brazil 06731
British Indian Ocean Territory 08342
Brunei Darussalam 08543
Bulgaria 08853
Burkina Faso 67012
Burundi 09412
Cambodia 09743
Cameroon 10312
Canada 80021
Cape Verde 11212
Cayman Islands 11523
Central African Republic 11812
Chad 12712
Chile 13031
China 13644
Christmas Island 13762
Cocos (Keeling) Islands 13962
Colombia 14231
Comoros 14512
Congo 14812
Congo, Democratic Republic of the 14912
Cook Islands 15462
Costa Rica 15722
Côte d'Ivoire 31312
Croatia 15853
Cuba 16023
Cyprus 16341
Czech Republic 16552
Denmark 17251
Djibouti 21412
Dominica 17523
Dominican Republic 17823
Ecuador 18131
Egypt 65211
El Salvador 18422
England 65851
Equatorial Guinea 18512
Eritrea 18812
Estonia 18651
Ethiopia 18712
Faeroe Islands 19051
Falkland Islands (Malvinas) 19331
Fiji 19662
Finland 19951
France 20251
French Guiana 20831
French Polynesia 21162
French Southern Territories 21212
Gabon 22012
Gambia 22312
Georgia 22553
Germany 22652
Ghana 23812
Gibraltar 24153
Greece 24753
Greenland 25021
Grenada 25323
Guadeloupe 25623
Guam 25962
Guatemala 26222
Guernsey 20351
Guinea 26512
Guinea-Bissau 49312
Guyana 26631
Haiti 26823
Heard Island and McDonald Islands 26912
Honduras 27722
Hong Kong 28044
Hungary 28352
Iceland 28651
India 29242
Indonesia 29543
Iran 29841
Iraq 30141
Ireland, Republic of (EIRE) 30451
Isle of Man 30651
Israel 30741
Italy 31053
Jamaica 31623
Japan 31944
Jersey 30751
Jordan 32241
Kazakhstan 32342
Kenya 32512
Kiribati 32662
Korea, North 33144
Korea, South 32844
Kuwait 33441
Kyrgyzstan 33542
Laos 33743
Latvia 33851
Lebanon 34041
Lesotho 34412
Liberia 34612
Libya 34911
Liechtenstein 35252
Lithuania 35351
Luxembourg 35551
Macao 35844
Macedonia (FYROM) 35953
Madagascar 36112
Malawi 36212
Malaysia 36443
Maldives 36742
Mali 37012
Malta 37353
Marshall Islands 37462
Martinique 37623
Mauritania 37912
Mauritius 38212
Mayotte 38312
Mexico 38822
Micronesia, Federated States of 38962
Moldova, Republic of 39052
Monaco 39151
Mongolia 39444
Montenegro 70453
Montserrat 39723
Morocco 40011
Mozambique 41212
Myanmar 09143
Namibia 58612
Nauru 41862
Nepal 42142
Netherlands 42451
Netherlands Antilles 42723
New Caledonia 43062
New Zealand 43961
Nicaragua 44222
Niger 44512
Nigeria 44812
Niue 45162
Norfolk Island 45462
Northern Ireland 66151
Northern Mariana Islands 45662
Norway 46051
Oman 41541
Pakistan 46642
Palau 46862
Palestinian Territory, Occupied 46741
Panama 46922
Papua New Guinea 43362
Paraguay 47531
Peru 47831
Philippines 48143
Pitcairn 48462
Poland 48752
Portugal 49053
Puerto Rico 50223
Qatar 50541
Réunion 50812
Romania 52653
Russian Federation 53052
Rwanda 52912
Saint Barthélemy 69562
Saint Helena 53512
Saint Kitts and Nevis 53823
Saint Lucia 54123
Saint Martin 68923
Saint Pierre and Miquelon 54421
Saint Vincent and the Grenadines 54723
Samoa 69462
San Marino 55053
Sao Tome and Principe 55312
Saudi Arabia 55941
Scotland 66451
Senegal 56212
Serbia 70653
Seychelles 56512
Sierra Leone 56812
Singapore 57443
Slovakia 56952
Slovenia 57053
Solomon Islands 07662
Somalia 57712
South Africa 58312
South Georgia and the South Sandwich Islands 58412
Spain 58953
Sri Lanka 12442
Sudan 59812
Suriname 60131
Svalbard and Jan Mayen Island 60251
Swaziland 60412
Sweden 60751
Switzerland 61052
Syria 61341
Taiwan 61544
Tajikistan 61442
Tanzania, United Republic of 61612
Thailand 61943
Timor-Leste 49943
Togo 62212
Tokelau 62562
Tonga 62862
Trinidad and Tobago 63123
Tunisia 63711
Turkey 64041
Turkmenistan 64441
Turks and Caicos Islands 64323
Tuvalu 24462
Uganda 64612
Ukraine 64752
United Arab Emirates 63441
United Kingdom 65551
United States 66721
United States Minor Outlying Islands 66962
Uruguay 67331
Uzbekistan 65642
Vanuatu 43662
Vatican City State 67553
Venezuela 67631
Viet Nam 68243
Virgin Islands, British 68523
Virgin Islands, U.S. 68823
Wales 66551
Wallis and Futuna 69262
Western Sahara 69311
Yemen 70041
Zambia 70512
Zimbabwe 51112
Not applicable 99899
Not reported 99999
Canada 80021
Newfoundland 81021
Prince Edward Island 81121
Nova Scotia 81221
New Brunswick 81321
Quebec 82421
Ontario 83521
Manitoba 84621
Saskatchewan 84721
Alberta 84821
British Columbia 85921
Yukon Territory 86021
Northwest Territories 86121
Nunavut 86221
Please note: If a country does not appear on the list, please contact the subject matter analyst.

Element 16: Year of First Degree

Description:

A four digit element to report the year in which the staff member obtained his or her first university degree, postsecondary diploma or professional designation.

Codes:

Four digits of the year in which the first university degree, postsecondary diploma or professional designation was obtained.

9998. No degree, diploma or professional designation.

9999. Unknown

Element 17: Province or Country of First Degree

Description:

A five digit code to report the province in which the staff member's first university degree, postsecondary diploma or professional designation was obtained. If outside of Canada, please report the country. If a country is not identified in the following listing, please contact the subject matter analyst.

Codes:

The list of province and country codes is given in element 15 (pages 28 – 33)

99899. If code 9998 was used in element 16, then code 99899 should be reported for this element.

99999. Unknown.

Element 18: Level of Highest Earned Degree

Description:

A one digit code to report the level of the staff member's highest earned degree, diploma or professional designation.

Notes:

Please note that it is the highest degree, not the most recent, which is required. The following codes list the degrees in order of highest to lowest. Please exclude all anticipated and all honourary degrees.

Codes:

1. PhD. or any other equivalent doctoral degree. (i.e. Ed.D., D.Sc., D.S.W)

2. Professional degrees (but not including masters or bachelors degrees). This code refers to medical and paramedical degrees only. For example, the following degrees would be included in this category: M.D. (Medical Doctor), D.D.S.( Doctor of Dental Surgery), D.D.M.(Doctor of Dental Medicine), D.V.M.(Doctor of Veterinary Medicine). Please do not include the masters of social work (code 3) or the LLB: bachelors of laws and letters (code 4) degrees in this category.

3. Masters degree and equivalent (e.g., M.A., M.S.W., M.B.A., etc).

4. Bachelors degree (e.g., LL.B., B.A., B.S, B.Ed., etc).

5. All other credentials. This includes undergraduate and graduate diplomas, professional designations other than a degree (e.g., C.A., C.G.A., R.I.A., teaching certificate but no degree, etc.) and any others.

8. No degree, diploma or professional designation.

9. Unknown

Element 19: Year of Highest Earned Degree

Description:

A four digit element to report the year in which the highest earned degree as specified in element 18, was obtained.

Notes:

If the staff member has two or more degrees at the same level, please report the year of the most recent degree. For example, if the staff member has two doctorate degrees, one obtained in 1960 and the other in 1965, please report 1965 for this element.

Similarly, if the staff member has two degrees, the most recent of which is at a lower level than the first, e.g., M.D. obtained in 1965, M.S. in 1972, please report the year of the higher degree, in this case 1965.

If a staff member has a degree which is higher than a bachelor's degree, it is expected that the year of highest earned degree will be later than the element 16: "Year of First Degree".

Codes:

A four digit code indicating the year when the highest earned degree was obtained.

9998. If code 8 was used in element 18, then code 9998 should be shown for element 19.

9999. Unknown.

Element 20: Province or Country of Highest Degree

Description:

A five digit code to report the province or country of the highest earned degree (as reported in element 18).

Notes:

Please report the province in which the highest earned degree that was specified in element 18 was obtained. If outside of Canada, please report country.

Codes:

The list of province and country codes is given in element 15 (pages 28 to 33).

99899. If code 8 was used in element 18, then report code 99899.

99999. Unknown. If code 9 was used in element 18, please report code 99999

Element 21: Country of Citizenship at Time of Appointment

Description:

A five digit code to report the staff member's country of citizenship at the time that they were appointed to the institution (as reported in element 26).

Codes:

The list of country codes is given in element 15 (pages 28 to 33).

99999. Unknown

Element 22: Rank

Description:

A one digit code to report the staff member's current rank.

Codes:

1. Full professor

2. Associate professor

3. Assistant professor

4. Ranks/level below assistant professor: includes lecturers, instructors, and other teaching staff

5. Other: includes staff that do not fit in the categories described above (ungraded).

Element 23: Year of Appointment to Present Rank

Description:

A four digit element, to report the year in which the staff member attained his or her current rank (as reported in element 22).

Notes:

Please note the following when deciding what year to report:

  1. The service between the year of appointment to the current rank (as indicated in this element) and the present year must be both uninterrupted and full-time. It is recognized that leave can be granted without interrupting the continuous service.
  2. If the period of employment at the current rank has been interrupted (i.e., the staff member has severed his or her connection with the institution), the year of reappointment should be reported.
  3. It is quite possible that the year reported in this element will be the same as that reported in element 26 ("Year of Appointment to Institution"). This would occur when the staff member has not had a change in rank since his or her appointment (or reappointment) to the institution.
  4. The year should only change when a staff member has been promoted from one rank to the next. The year does not change when the administrative responsibilities change.

Codes:

Four digits of the year in which the staff member attained his or her present rank.

9999. Unknown

Element 24: Type of Appointment

Description:

A one digit element to report the type of appointment held by the staff member at the institution.

Notes:

Those teachers who have been granted tenure should be coded 1.

Teachers for whom, in the normal course of events, e.g., after a certain period of time and, in some cases, upon completion of their doctorate, a tenure review is required by university policy are to be coded 2.

Staff for whom no tenure review is required should be coded 3. This category includes teachers hired for one year or more, with no formal commitment on the part of the university to renew their contract, although the contract may in fact be renewed (or have been renewed).

Those reported as code 4, visiting staff, should also have been reported as code 6 or 8 in Element 10 "Senior Administrative Responsibilities".

Codes:

1. Tenured

2. Leading to tenure, probationary

3. Non – tenured staff. This could include annual, sessional or other definite term contracts. Other terms used to describe staff in this category are "full-time term employees", "limited term positions", and other contractual staff whose contracts are greater than 12 months.

4. Visiting staff, i.e., staff with a permanent affiliation to another university or organization.

5. Other staff: staff that are not classified as 1, 2, 3 or 4 above

Element 25: Medical or Dental Appointment Category

Description:

A one digit element, to report the appointment category of the staff in the faculties of medicine (including veterinary medicine) and/or dentistry.

Notes:

Medical/dental teaching staff is defined as those who are teaching in department/programs which typically award/train students for either an MD or DDS degree (or post Md/DDS degrees). These staff should be coded as "0", "1" or "2". Please do not report other teaching staff who may be in the Faculty of Medicine or Dentistry who do not focus on the training of students in these fields (i.e. Nursing, Occupational Therapy etc). All other teaching staff should be coded as "9" (non medical /dental).

Code 0: Regular full-time (12 months) academic staff
This is a regular academic appointment similar to that in any other faculty. The appointee receives his full salary from the institution. This category usually applies to all basic medical science departments and to other medical or dental staff who are not engaged in private practice. It also includes those staff who are supported by research grants but whose income is administered by the university. These staff are expected to hold some teaching responsibilities.

Code 1: Geographic full-time (12 months) academic staff
This category applies to all medical and dental staff who are engaged in the practice of medicine as well as teaching (i.e. clinicians). Geographic full-time staff members usually receive an established percentage of their regular salary from the university and the remaining portion from provincial medical care institutions (e.g., hospitals) and/or medical care plans. In addition, they are entitled to earn an income (limited by a ceiling) for service to patients. The staff members are usually assigned to a specific hospital. Although they may receive only a percentage of their income from the university, they are counted as full-time members of the institution.

Please include all clinicians in this category.

Code 2: Full-time (12 months) joint appointments
This category includes medical and dental staff who have received a letter of appointment from both the university and one of the teaching hospitals. Salaries are paid by both institutions at an agreed upon ratio.

Exclusions:

The following categories of medical staff are to be excluded from the survey:

  1. Major part-time
    These staff members spend approximately 50% of their time in a teaching hospital. Their offices are not located in the hospital and there is no ceiling on the income they earn from outside patients although there is a ceiling on the earnings made through the clinical teaching units.
  2. Part-time
    These staff members are usually community practitioners who do not receive a formal letter of appointment from the institution but rather are engaged by department heads as demonstrators or teaching assistants. These casual staff members may teach both graduate and undergraduate students, on an average of several hours per week, and also may be involved in clinical research.

Codes:

0. Regular full-time academic staff member

1. Geographic full-time academic staff member

2. Full-time joint appointment

9. Not applicable (staff member is not in a faculty of medicine or dentistry)

Element 26: Year of Appointment to Institution

Description:

A four digit element to report the year of appointment (or reappointment) to a full-time position.

Notes:

Please note that the service between the year reported in this element and the present year must be both full-time and uninterrupted (i.e., the staff member has not severed his or her connection with the institution during this period). Leave (sabbatical, leave of absence, etc.) should not be interpreted as interrupting the continuous service, i.e., when a staff member goes on leave, it does not change his or her year of appointment to the institution. Similarly, if a staff member assumes a non-academic position in the university for a time and then returns to teaching, the period spent in that position should not be interpreted as interrupting continuous service. However, during the time the person holds such a position he or she should not be reported as a full-time teacher.

It does not matter whether the staff member's appointment was originally temporary, probationary or permanent or has been a series of one-year contracts. As long as the employment has been continuous from year to year and full- time in each year, the year of appointment should be reported as the earliest year in which the staff member joined the institution on a full-time basis. For example, in year 1, a staff member held a full-time probationary appointment which was made permanent in year 2. Year 1 would be reported as the year of appointment.

For the staff member who was employed full-time (12 months) during some past period, then, (1) severed his or her connection with the institution, or (2) he or she obtains a teaching position which is other than full-time (12 months), and was later re-hired to a full-time (12 months) position, the year of reappointment is the one that should be reported in this element.

Please note that the year of appointment to the institution (as reported in this element) cannot be later than the year of appointment to the present rank (element 23).

Codes:

Four digits of the year the staff member was appointed (or reappointed) to the institution.

Element 27: Principal Subject Taught

Description:

A four digit element describing the principal subject taught of the staff member.

Notes:

Please report using CIP ("Classification of Instructional Programs) at the 4 digit level. A listing is provided on the following pages. Please code this element according to the subject in which the staff member spends the largest portion of their teaching time.

For a more detailed description of each of the subject codes, please consult the full version of the CIP coding manual.

For staff members, who are on leave, please report the subject that they would have taught had the staff member been teaching.

Codes:

The list of 4 digit CIP codes is given on the following pages.

9998. Not applicable (researchers).

Table 5: CIP Codes
CIP Code Name
0100 Agriculture, General
0101 Agricultural Business and Management
0102 Agricultural Mechanization
0103 Agricultural Production Operations
0104 Agricultural and Food Products Processing
0105 Agricultural and Domestic Animal Services
0106 Applied Horticulture/Horticultural Business Services
0107 International Agriculture
0108 Agricultural Public Services
0109 Animal Sciences
0110 Food Science and Technology
0111 Plant Sciences
0112 Soil Sciences
0199 Agriculture, Agriculture Operations and Related Sciences, Other
0301 Natural Resources Conservation and Research
0302 Natural Resources Management and Policy
0303 Fishing and Fisheries Sciences and Management
0305 Forestry
0306 Wildlife and Wildlands Science and Management
0399 Natural Resources and Conservation, Other
0402 Architecture (BArch, BA/BSc, MArch, MA/MSc, PhD)
0403 City/Urban, Community and Regional Planning
0404 Environmental Design/Architecture
0405 Interior Architecture
0406 Landscape Architecture (BSc, BSLA, BLA, MSLA, MLA, PhD)
0408 Architectural History and Criticism
0499 Architecture and Related Services, Other
0501 Area Studies
0502 Ethnic, Cultural Minority and Gender Studies
0599 Area, Ethnic, Cultural and Gender Studies, Other
0901 Communication and Media Studies
0904 Journalism
0907 Radio, Television and Digital Communication
0909 Public Relations, Advertising and Applied Communication
0910 Publishing
0999 Communication, Journalism and Related Programs, Other
1101 Computer and Information Sciences and Support Services, General
1102 Computer Programming
1104 Information Science/Studies
1105 Computer Systems Analysis/Analyst
1107 Computer Science
1108 Computer Software and Media Applications
1109 Computer Systems Networking and Telecommunications
1110 Computer/Information Technology Administration and Management
1199 Computer and Information Sciences and Support Services, Other
1301 Education, General
1302 Bilingual, Multilingual and Multicultural Education
1303 Curriculum and Instruction
1304 Educational Administration and Supervision
1305 Educational/Instructional Media Design
1306 Educational Assessment, Evaluation and Research
1307 International and Comparative Education
1309 Social and Philosophical Foundations of Education
1310 Special Education and Teaching
1311 Student Counselling and Personnel Services
1312 Teacher Education and Professional Development, Specific Levels and Methods
1313 Teacher Education and Professional Development, Specific Subject Areas
1314 Teaching English or French as a Second or Foreign Language
1315 Teaching Assistants/Aides
1399 Education, Other
1401 Engineering, General
1402 Aerospace, Aeronautical and Astronautical Engineering
1403 Agricultural/Biological Engineering and Bioengineering
1404 Architectural Engineering
1405 Biomedical/Medical Engineering
1406 Ceramic Sciences and Engineering
1407 Chemical Engineering
1408 Civil Engineering
1409 Computer Engineering
1410 Electrical, Electronics and Communications Engineering
1411 Engineering Mechanics
1412 Engineering Physics
1413 Engineering Science
1414 Environmental/Environmental Health Engineering
1418 Materials Engineering
1419 Mechanical Engineering
1420 Metallurgical Engineering
1421 Mining and Mineral Engineering
1422 Naval Architecture and Marine Engineering
1423 Nuclear Engineering
1424 Ocean Engineering
1425 Petroleum Engineering
1427 Systems Engineering
1428 Textile Sciences and Engineering
1431 Materials Science
1432 Polymer/Plastics Engineering
1433 Construction Engineering
1434 Forest Engineering
1435 Industrial Engineering
1436 Manufacturing Engineering
1437 Operations Research
1438 Surveying Engineering
1439 Geological/Geophysical Engineering
1499 Engineering, Other
1515 Engineering/Industrial Management
1599 Engineering Technologies/Technicians, Other
1601 Linguistic, Comparative and Related Language Studies and Services
1602 African Languages, Literatures and Linguistics
1603 East Asian Languages, Literatures and Linguistics
1604 Slavic, Baltic and Albanian Languages, Literatures and Linguistics
1605 Germanic Languages, Literatures and Linguistics
1606 Modern Greek Language and Literature
1607 South Asian Languages, Literatures and Linguistics
1608 Iranian/Persian Languages, Literatures and Linguistics
1609 Romance Languages, Literatures and Linguistics
1610 Aboriginal Languages, Literatures and Linguistics
1611 Middle/Near Eastern and Semitic Languages, Literatures and Linguistics
1612 Classics and Classical Languages, Literatures and Linguistics
1613 Celtic Languages, Literatures and Linguistics
1614 Southeast Asian and Australasian/Pacific Languages, Literatures and Linguistics
1615 Turkic, Ural-Altaic, Caucasian and Central Asian Languages, Literatures and Linguistics
1616 Sign Language
1617 Second Language Learning
1699 Aboriginal and Foreign Languages, Literatures and Linguistics, Other
1900 Work and Family Studies
1901 Family and Consumer Sciences/Human Sciences, General
1902 Family and Consumer Sciences/Human Sciences Business Services
1904 Family and Consumer Economics and Related Services
1905 Foods, Nutrition and Related Services
1906 Housing and Human Environments
1907 Human Development, Family Studies and Related Services
1909 Apparel and Textiles
1999 Family and Consumer Sciences/Human Sciences, Other
2200 Non-professional General Legal Studies (Undergraduate)
2201 Law (LLB, JD, BCL)
2202 Legal Research and Advanced Professional Studies (Post-LLB/JD)
2299 Legal Professions and Studies, Other
2301 English Language and Literature, General
2304 English Composition
2305 English Creative Writing
2307 Canadian and American Literature
2308 English Literature (British and Commonwealth)
2310 English Speech and Rhetorical Studies
2311 English Technical and Business Writing
2399 English Language and Literature/Letters, Other
2401 Liberal Arts and Sciences, General Studies and Humanities
2501 Library Science/Librarianship
2599 Library Science, Other
2601 Biology, General
2602 Biochemistry/Biophysics and Molecular Biology
2603 Botany/Plant Biology
2604 Cell/Cellular Biology and Anatomical Sciences
2605 Microbiological Sciences and Immunology
2607 Zoology/Animal Biology
2608 Genetics
2609 Physiology, Pathology and Related Sciences
2610 Pharmacology and Toxicology
2611 Biomathematics and Bioinformatics
2612 Biotechnology
2613 Ecology, Evolution, Systematics and Population Biology
2699 Biological and Biomedical Sciences, Other
2701 Mathematics
2703 Applied Mathematics
2705 Statistics
2799 Mathematics and Statistics, Other
2805 Reserve Entry Scheme for Officers in the Armed Forces
2901 Military Technologies
3001 Biological and Physical Sciences
3005 Peace Studies and Conflict Resolution
3006 Systems Science and Theory
3008 Mathematics and Computer Science
3010 Biopsychology
3011 Gerontology
3012 Historic Preservation and Conservation
3013 Medieval and Renaissance Studies
3014 Museology/Museum Studies
3015 Science, Technology and Society
3016 Accounting and Computer Science
3017 Behavioural Sciences
3018 Natural Sciences
3019 Nutrition Sciences
3020 International/Global Studies
3021 Holocaust and Related Studies
3022 Classical and Ancient Studies
3023 Intercultural/Multicultural and Diversity Studies
3024 Neuroscience
3025 Cognitive Science
3099 Multidisciplinary/Interdisciplinary Studies, Other
3101 Parks, Recreation and Leisure Studies
3103 Parks, Recreation and Leisure Facilities Management
3105 Health and Physical Education/Fitness
3199 Parks, Recreation, Leisure and Fitness Studies, Other
3801 Philosophy, Logic and Ethics
3802 Religion/Religious Studies
3899 Philosophy and Religious Studies, Other
3902 Bible/Biblical Studies
3903 Missions/Missionary Studies and Missiology
3904 Religious Education
3905 Religious/Sacred Music
3906 Theological and Ministerial Studies
3907 Pastoral Counselling and Specialized Ministries
3999 Theology and Religious Vocations, Other
4001 Physical Sciences, General
4002 Astronomy and Astrophysics
4004 Atmospheric Sciences and Meteorology
4005 Chemistry
4006 Geological and Earth Sciences/Geosciences
4008 Physics
4099 Physical Sciences, Other
4201 Psychology, General
4202 Clinical Psychology
4203 Cognitive Psychology and Psycholinguistics
4204 Community Psychology
4205 Comparative Psychology
4206 Counselling Psychology
4207 Developmental and Child Psychology
4208 Experimental Psychology
4209 Industrial and Organizational Psychology
4210 Personality Psychology
4211 Physiological Psychology/Psychobiology
4216 Social Psychology
4217 School Psychology
4218 Educational Psychology
4219 Psychometrics and Quantitative Psychology
4220 Clinical Child Psychology
4221 Environmental Psychology
4222 Geropsychology
4223 Health/Medical Psychology
4224 Psychopharmacology
4225 Family Psychology
4226 Forensic Psychology
4299 Psychology, Other
4301 Criminal Justice and Corrections
4302 Fire Protection
4399 Security and Protective Services, Other
4400 Human Services, General
4402 Community Organization and Advocacy
4404 Public Administration
4405 Public Policy Analysis
4407 Social Work
4499 Public Administration and Social Service Professions, Other
4501 Social Sciences, General
4502 Anthropology
4503 Archeology
4504 Criminology
4505 Demography and Population Studies
4506 Economics
4507 Geography and Cartography
4509 International Relations and Affairs
4510 Political Science and Government
4511 Sociology
4512 Urban Studies/Affairs
4599 Social Sciences, Other
5001 Visual and Performing Arts, General
5002 Crafts/Craft Design, Folk Art and Artisanry
5003 Dance
5004 Design and Applied Arts
5005 Drama/Theatre Arts and Stagecraft
5006 Film/Video and Photographic Arts
5007 Fine Arts and Art Studies
5009 Music
5099 Visual and Performing Arts, Other
5100 Health Services/Allied Health/Health Sciences, General
5101 Chiropractic (DC)
5102 Communication Disorders Sciences and Services
5104 Dentistry (DDS, DMD)
5105 Advanced/Graduate Dentistry and Oral Sciences (Cert., MSc, PhD)
5106 Dental Support Services and Allied Professions
5107 Health and Medical Administrative Services
5109 Allied Health Diagnostic, Intervention and Treatment Professions
5110 Clinical/Medical Laboratory Science and Allied Professions
5111 Health/Medical Preparatory Programs
5112 Medicine (MD)
5114 Medical Scientist (MSc, PhD)
5115 Mental and Social Health Services and Allied Professions
5116 Nursing
5117 Optometry (OD)
5118 Ophthalmic and Optometric Support Services and Allied Professions
5119 Osteopathic Medicine/Osteopathy (DO)
5120 Pharmacy, Pharmaceutical Sciences and Administration
5121 Podiatric Medicine/Podiatry (DPM)
5122 Public Health
5123 Rehabilitation and Therapeutic Professions
5124 Veterinary Medicine (DVM)
5125 Veterinary Biomedical and Clinical Sciences (Cert., MSc, PhD)
5127 Medical Illustration and Informatics
5131 Dietetics and Clinical Nutrition Services
5132 Bioethics/Medical Ethics
5133 Alternative and Complementary Medicine and Medical Systems
5134 Alternative and Complementary Medical Support Services
5135 Somatic Bodywork and Related Therapeutic Services
5136 Movement and Mind-Body Therapies
5137 Energy-based and Biologically-based Therapies
5199 Health Professions and Related Clinical Sciences, Other
5201 Business/Commerce, General
5202 Business Administration, Management and Operations
5203 Accounting and Related Services
5204 Business Operations Support and Assistant Services
5205 Business/Corporate Communications
5206 Business/Managerial Economics
5207 Entrepreneurial and Small Business Operations
5208 Finance and Financial Management Services
5209 Hospitality Administration/Management
5210 Human Resources Management and Services
5211 International Business/Trade/Commerce
5212 Management Information Systems and Services
5213 Management Sciences and Quantitative Methods
5214 Marketing
5215 Real Estate
5216 Taxation
5217 Insurance
5218 General Sales, Merchandising and Related Marketing Operations
5219 Specialized Sales, Merchandising and Marketing Operations
5220 Construction Management
5299 Business, Management, Marketing and Related Support Services, Other
5401 History
5501 French Language and Literature, General
5503 French Composition
5504 French Creative Writing
5505 French Canadian Literature
5506 French Literature (France and the French Community)
5507 French Speech and Rhetorical Studies
5508 French Technical and Business Writing
5599 French Language and Literature/Letters, Other
6001 Dental Residency Programs
6002 Medical Residency Programs
6003 Veterinary Residency Programs
9998 Not applicable - Researchers

2016 Census Agricultural Regions (CAR) and Small Area Data (SAD) Regions Correspondence

Quebec
Table summary
This table displays the results of Quebec CAR and SAD (appearing as column headers).
  CAR SAD
Bas-Saint-Laurent and Gaspésie-Îles-de-la-Madeleine 1, 11 1
Saguenay-Lac-Saint-Jean and Côte-Nord 2 2
Capitale Nationale and Mauricie 3, 4 3
Estrie 5 4
Montreal, Laval and Lanaudière 6, 7 5
Outaouais and Laurentides 8, 9 6
Abitibi-Témiscamingue and Nord-du-Québec 10 7
Chaudières-Appalaches 12 8
Montérégie 13  
Montérégie Nord-estFootnote 1   9
Montérégie Sud-ouestFootnote 2   10
Centre du Québec 14 11
Provincial Total   99

Quebec Census Map

Ontario
Table summary
This table displays the results of Ontario CAR and SAD (appearing as column headers).
  CAR SAD
Southern Ontario Region 1 1
Western Ontario Region 2 2
Central Ontario Region 3 3
Eastern Ontario Region 4 4
Northern Ontario Region 5 5
Provincial Total   99

Ontario Census Map

Manitoba
Table summary
This table displays the results of Manitoba CAR and SAD (appearing as column headers).
  CAR SAD
Census Agricultural Region 1 1 1
Census Agricultural Region 2 2 2
Census Agricultural Region 3 3 3
Census Agricultural Region 4 4 4
Census Agricultural Region 5 5 5
Census Agricultural Region 6 6 6
Census Agricultural Region 7 7 7
Census Agricultural Region 8 8 8
Census Agricultural Region 9 9 9
Census Agricultural Region 10 10 10
Census Agricultural Region 11 11 11
Census Agricultural Region 12 12 12
Provincial Total   99

Manitoba Census Map

Saskatchewan
Table summary
This table displays the results of Saskatchewan CAR, PR-CAR and SAD (appearing as column headers).
  CAR PR-CAR SAD
Census Division 1 1 4701 1
Census Division 2 2 4702 2
Census Division 3 3 4703 3
Census Division 4 3 4703 4
Census Division 5 1 4701 5
Census Division 6 2 4702 6
Census Division 7 3 4703 7
Census Division 8 3 4703 8
Census Division 9 1 4701 9
Census Division 10 1 4701 10
Census Division 11 4 4704 11
Census Division 12 4 4704 12
Census Division 13 4 4704 13
Census Division 14 5 4705 14
Census Division 15 6 4706 15
Census Division 16 6 4706 16
Census Division 17 6 4706 17
Census Division 18 7 4707 16
Provincial Total     99
Saskatchewan Census Map
Alberta
Table summary
This table displays the results of Alberta CAR, PR-CAR and SAD (appearing as column headers).
  CAR PR-CAR SAD
Census Agricultural Region 1 1 4810 10
Census Agricultural Region 2 2 4820 20
Census Agricultural Region 3 3 4830 30
Census Agricultural Region 4A 4A 4840 40
Census Agricultural Region 4B 4B 4841 41
Census Agricultural Region 5 5 4850 50
Census Agricultural Region 6 6 4860 60
Census Agricultural Region 7 7 4870 70
Provincial Total     99
Alberta Census Map
British Columbia
Table summary
This table displays the results of British Columbia CAR and SAD (appearing as column headers).
  CAR SAD
Vancouver Island-Coast 1 -
Lower Mainland-Southwest 2 -
Thompson-Okanagan 57 Stikine 3 -
Kootenay 4 -
Cariboo 5 -
North Coast 6 -
Nechako 7 -
Non Peace Total 1, 2, 3, 4, 5, 6, 7 1
Peace River 8 8
Provincial Total   99
British Columbia Census Map

Food services and drinking places - CVs for operating revenue, 2016

Food services and drinking places - CVs for operating revenue, 2016
Table summary
This table displays the results of Food services and drinking places - CVs for operating revenue, 2016. The information is grouped by Geography (appearing as row headers), CVs for operating revenue, calculated using percentage units of measure (appearing as column headers).
Geography CVs for operating revenue
percent
Canada 1.10
Newfoundland and Labrador 2.60
Prince Edward Island 2.88
Nova Scotia 3.65
New Brunswick 7.74
Quebec 2.04
Ontario 1.37
Manitoba 3.76
Saskatchewan 5.65
Alberta 2.22
British Columbia 4.60
Yukon 5.07
Northwest Territories 4.73
Nunavut 0.00

Getting Started

Why do we conduct this survey?

The Farm Management Survey is conducted by Statistics Canada in collaboration with Agriculture and Agri-Food Canada (AAFC).

The survey collects information from Canadian farm operators about production and farm management practices.

The data will be used to:

  • guide research and program and policy development
  • enable farmers to adopt improved practices for economic and environmental benefit.

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 to collect this information

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

Confidentiality

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

Record linkages

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

Data-sharing agreements

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

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

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

For this survey, there are Section 12 agreements with the Ontario Ministry of Agriculture, Food and Rural Affairs, l'Institut de la Statistiques du Québec, Alberta Agriculture and Rural Development and Agriculture and Agri-Food Canada.

Section 12 of the Statistics Act provides for the sharing of information with federal, provincial or territorial government organizations.

Under Section 12, you may refuse to share your information with any of these organizations by writing a letter of objection to the Chief Statistician, specifying the organizations with which you do not want Statistics Canada to share your data and mailing it to the following address:

Chief Statistician of Canada
Statistics Canada
Attention of Kevin Roberts, Director, Environment, Energy and Transportation Statistics Division
150 Tunney's Pasture Driveway
Ottawa, Ontario
K1A 0T6

You may also contact us by email at statcan.environ-environ.statcan@statcan.gc.ca or by fax at (613) 951-0634.

Important features

To navigate the questionnaire

Use the Previous and Next buttons located at the bottom right of each page.

Do not use the navigation buttons at the top of your browser or the corresponding shortcut keys.

Based on your answers to certain questions, the questionnaire will automatically skip any questions or sub-questions that do not apply to your situation.

Session timeout

After 2 hours of inactivity, your session will time out. You will not be able to access any of your unsaved information.

To save your information

If you cannot complete the questionnaire in one session, you can save the information you have entered by pressing the Save and finish later button. This button is located at the bottom left of any page where you are asked to enter information. You can then resume your session at another time.

Please note that information that you have entered may be retained at the end of collection, even if it has not been saved or submitted.

Definitions and explanations

A help button is available for certain questions. Press this button for additional information or clarification.

Survey Purpose

The survey will collect information about the management practices used on Canadian farms.

Survey results will help Agriculture and Agri-Food Canada measure the use of these practices in the agriculture industry, and will support their development of effective agricultural programs.

The information you provide may also be used by Statistics Canada for other statistical and research purposes.

Dairy inventory

The first questions are about livestock kept on this operation.

Q1. How many of the following types of dairy cattle are currently on this operation?

Include:

  • all cattle on this operation, regardless of ownership, including those that were boarded, custom fed, or fed under contract
  • all cattle kept by this operation regardless of ownership that were pastured on a community pasture, grazing co-op, or public land for part of the year.

Exclude animals owned by this operation but kept on a farm, ranch or feedlot operated by someone else.

If there are no animals for a specific type, please indicate 0.

Number of dairy cattle

  1. Milking cows
  2. Dry cows
  3. Replacement heifers, one year and over
  4. Calves, under one year

Further questions will focus on the management practices for one specific type of dairy cattle.

Q2. Please select the cattle type to be used to answer the following questions.

  • Milking cows
  • Dry cows
  • Replacement heifers, one year and over
  • Calves, under one year

Beef inventory

The first questions are about livestock kept on this operation.

Q1. In 2017, how many of the following types of beef cattle are currently on this operation?

Include:

  • all the cattle on this operation, regardless of ownership, including those that were boarded, custom fed, or fed under contract
  • all cattle kept by this operation regardless of ownership that were pastured on a community pasture, grazing co-op, or public land for part of the year.

Exclude animals owned by this operation but kept on a farm, ranch or feedlot operated by someone else.

If there are no animals for a specific type, please indicate 0.

Number of beef cattle

  1. Finishing heifers and steers
  2. Backgrounding heifers and steers
  3. Cows
  4. Replacement heifers
  5. Bulls
  6. Calves, under one year

Additional questions will focus on the management practices for one specific type of beef cattle.

Q2. Please select the cattle type to be used to answer the following questions.

  • Finishing heifers and steers
  • Backgrounding heifers and steers
  • Cows
  • Replacement heifers
  • Bulls
  • Calves, under one year

Q3. In 2017, how many months were these [beef cattle] kept primarily in the following areas?

Number of months

  1. An outdoor confined area
    Include pens, corrals, drylots, exercise pads.
    An outdoor area where livestock movement is restricted and manure deposits are eventually removed offsite.
  2. An open field or pasture
    Native or tame pasture or cropland used for grazing or feeding.
  3. A building
    Any fixed structure with a roof and some walls that confines or provides protection for livestock in one location.

Q4. At what reproductive stage are the majority of the [beef cattle] currently on this operation?

Cows

  • Lactating
  • Dry or pregnant

Replacement heifers

  • Unbred
  • Pregnant

Bulls

  • Growing immature bulls
  • Mature breeding bulls

Poultry inventory

The first questions are about poultry kept on this operation.

Q1. During one production cycle, how many of the following types of birds were on this operation and how many buildings were used to house each type of bird in 2017?

Include all the poultry on this operation, regardless of ownership, including those that were boarded, custom fed, or fed under contract.

Exclude animals owned by this operation but kept on a farm, ranch or feedlot operated by someone else.

If there are no birds of a specific type, please indicate 0.

Number of birds Number of buildings to house birds

Chickens for Table Eggs

  1. Pullets less than 19 weeks
  2. Laying hens 19 weeks and over

Birds for meat

  1. Broilers, roasters, Cornish
  2. Turkeys

Birds for Breeding
Include
hens and pullets.

  1. Egg layer breeders
  2. Broilers, roasters, Cornish breeders
  3. Turkey breeders

Other poultry

  1. Other poultry
    e.g., geese, ducks, roosters, ostriches, emus, pheasants, quail, pigeons
    Specify other poultry

Pig inventory

The first questions are about livestock kept on this operation.

Q1. During one production cycle, how many of the following types of pigs were on this operation in 2017?

Include all pigs on this operation, regardless of ownership, including those that were boarded, custom fed, or fed under contract.

Exclude pigs owned by this operation but kept on a farm, ranch or feedlot operated by someone else.

If this question does not apply, please indicate 0.

Number of pigs

  1. Weaner, nursery or starter pigs
    Under 45 lb. or less than 20 kg
  2. Grower and finishing pigs
    45 lb. or 20 kg and over
  3. Nursing pigs
  4. Sows and gilts for breeding
  5. Boars

Additional questions will focus on the management practices for one specific type of pig.

Q2. Please select the pig type to be used to answer the following questions.

  • Weaner, nursery or starter pigs
  • Grower and finishing pigs
  • Sows and gilts for breeding
  • Boars

Q3. Please indicate the growth stage of the majority of the [pigs] currently on this operation.

Weaner, nursery and starter pigs

  • Early nursery
  • Late nursery

Grower and finishing pigs

  • Grower
  • Finishing

Sows and gilts

  • Growing unbred gilts
  • Gestating sows
  • Bred gilts
  • Lactating sows

Boars

  • Growing immature boars
  • Mature breeding boars

Animal inventory

Q1. Are there any other livestock or poultry currently on this operation?

  • Yes
  • No

Q2. How many of the following are currently on this operation?

Include:

  • all animals on this operation, regardless of ownership, including those that are boarded, custom fed, or fed under contract
  • all animals kept by this operation regardless of ownership that were pastured on a community pasture, grazing coop, or public land for part of the year.

Exclude animals owned by this operation but kept on a farm, ranch or feedlot operated by someone else.

Number

  1. Dairy cattle
    Include all types and ages for breeding or milk production.
  2. Beef cattle
    Include all types and ages for breeding or meat production.
  3. Pigs
    Include all types and ages for breeding or meat production.
  4. Poultry
    Include all types and ages for breeding, meat, or egg production.
  5. All other animals
    Specify all other animals

Housing management (Dairy and Beef)

A building is any structure with a roof and some walls that confines or provides protection for livestock in one location.

Q1. In 2017, was there more than one building on this operation that was used to keep [dairy/beef] cattle?

  • Yes
  • No

For the following questions, consider only the building containing the largest number of [milking cows/beef cattle].

Q2. In 2017, how many of each of the following types of dairy cattle were housed in this building containing the largest number of milking cows?

Number of dairy cattle

  1. Milking cows
  2. Dry cows
  3. Replacement heifers, one year and over
  4. Calves, under one year

Q3. In 2017, which of the following practices were used to maintain the air quality in and around this building containing the largest number of milking cows?

Select all that apply.

  • Forced ventilation with fans
    Did this system have an air filter?
    • Yes
    • No
  • Natural ventilation
    e.g., windows, curtains, exhaust vents
    Was this system adjusted automatically?
    • Yes
    • No
  • Water misters or coolers
  • Electrostatic precipitators to reduce dust
  • Air exchangers
  • Large tree shelterbelts adjacent to the building
  • Other practices
    Specify other practices

For the following questions, consider only the building containing the largest number of [milking cows/beef cattle].

Q4. Which of the following housing designs best describes the system used in this building?

  • Tie stall
  • Free stall
  • Common bedding pack area
  • Other system
    Specify other system

Q5. In 2017, what type of milking system was used on this operation?

  • Milking parlour
  • Robotic system
  • Other system
    Specify other system

The following questions concern practices related to the area of this building where milking cows are kept.

Q6. In 2017, what type of material was primarily used for bedding for [milking cows/beef cattle] in this building?

  • Sawdust, shavings, bark mulch, other forest product
  • Straw or crop residue
  • Recycled or processed manure solids
  • Sand, gravel, or other mineral product
  • Synthetic mat or mattress
    e.g., rubber, foam, gel, water
  • Other material
    Specify other material
  • No material used

Q7. In 2017, approximately, how often was the bedding area refreshed with new bedding material?

  • At least once a day
  • At least once every two days
  • At least once every three days
  • At least once a week
  • At least once every 2 weeks
  • At least once a month
  • Other frequency
    Specify other frequency

Q8. What was the main base material below the bedding in this building?

  • Concrete
  • Clay layer
  • Sand or gravel layer
  • Other soil type
    Specify other soil type
  • Other material
    Specify other material

Q9. In 2017, what was the most common floor material for cattle alleys and walkways in this building?

  • Solid, smooth concrete
  • Slatted concrete over manure storage
  • Anti-slip concrete (grooved, stamped, etched, aggregate)
  • Rubber
  • Other floor material
    Specify other floor material

Q10. In 2017, what method was used to clean manure from alleys, walkways, and gutters in this building?

Exclude holding pens used prior to milking.

Select all that apply.

  • Tractor or skid steer
  • Automated scrapers (chain or cable)
  • Flushed with water
  • Other method
    Specify other method

Q11. In 2017, did the [dairy/beef] cattle in this building have access to an outdoor confined area?

Include pens, corrals, drylots and exercise pads.

An outdoor confined area is an area where livestock movement is restricted and manure deposits are eventually removed offsite.

  • Yes
  • No

Q12. During which seasons are the [dairy/beef] cattle from this building provided access to an outdoor area?

Select all that apply.

  • Spring
  • Summer
  • Fall
  • Winter
    OR
  • All year

Q13. In 2017, was there more than one outdoor confined area on this operation for [dairy/beef] cattle?

Include pens, corrals, drylots and exercise pads.

An outdoor confined area is an area where livestock movement is restricted and manure deposits are eventually removed offsite.

  • Yes
  • No

For the following questions, consider only the outdoor confined area containing the largest number of [dairy/beef] cattle.

Q14. What was the main base material of this outdoor confined area?

  • Concrete
  • Clay layer
  • Sand or gravel layer
  • Other soil type
    Specify other soil type
  • Other material
    Specify other material

Q15. In 2017, which of the following activities occurred in this outdoor confined area?

Select all that apply.

  • Watering
  • Exercising
  • Feeding
  • Provided material for bedding
    e.g., sawdust, straw
  • Observed cattle for heat detection

Q16. In 2017, what type of material was used for bedding?

Select all that apply.

  • Sawdust, shavings, bark mulch, other forest product
  • Straw or crop residue
  • Recycled or processed manure solids
  • Sand, gravel or other mineral product
  • Other material
    Specify other material
    OR
  • No material was used

Q17. In 2017, approximately, how often was the bedding area refreshed with new bedding material?

  • At least once a day
  • At least once a week
  • At least once a month
  • Less frequently than once a month
    Specify frequency

Q18. In 2017, approximately how often was manure or soiled bedding removed from this outdoor confined area?

  • At least once a day
  • At least once a week
  • At least once a month
  • Less frequently than once a month
    Specify frequency
  • At least once a month
  • At least once every 3 months
  • At least once every 6 months
  • Less frequently than once every 6 months
    Specify frequency

Q19. In 2017, which of the following features were present in or next to this outdoor confined area?

Select all that apply.

  • Protection from wind
    e.g., windbreaks, trees shelterbelts, shelter structures
  • Roof
  • Diversion of upstream surface water around confined area
  • Containment of runoff water flowing out of the confined area

Housing management (Pig)

Q1. In 2017, was there more than one building on this operation that was used to keep pigs?

  • Yes
  • No

The next questions are about the building containing the largest number of [pigs].

Q2. In 2017, how many of the following pig types were in this building on a typical day of full production?

  1. Weaner, nursery or starter pigs
  2. Grower and finishing pigs
  3. Nursing pigs
  4. Sows and gilts for breeding
  5. Boars

Q3. In 2017, what was the average number of weaner, nursery or starter pigs kept per pen?

Average number

Q4. What was the average pen size for these pigs?

Please indicate the unit of measure used.

Average pen size Unit of measure

Q5. In 2017, what was the average number of grower and finishing pigs kept per pen?

Average number

Q6. What was the average pen size for these pigs?

Please indicate the unit of measure used.

Average pen size Unit of measure

Q7. In 2017, what was the average number of sows and gilts kept per pen when they were gestating?

Average number

Q8. What was the average pen size for these pigs?

Please indicate the unit of measure used.

Average pen size Unit of measure

Q9. In 2017, what was the average number of boars kept per pen when not in breeding service?

Average number

Q10. What was the average pen size for these pigs?

Please indicate the unit of measure used.

Average pen size Unit of measure

Q11. In 2017, what floor material was used in this building?

Select all that apply.

  • Concrete
    • Solid - smooth
    • Solid - anti-slip
      e.g., grooved, stamped, aggregate
    • Slatted
  • Rubber
    • Solid
    • Slatted
  • Other floor material
    Specify other floor material

Q12. What type of floor slat configuration was most commonly used?

  • Entire pen slatted
  • Part of pen slatted

Q13. In 2017, what material was primarily used for bedding?

  • Sawdust, shavings, bark mulch, other forest product
  • Straw or crop residue
  • Synthetic mat or mattress
    e.g., rubber, foam, gel, water
  • Other material
    Specify other material
  • No bedding material used

Q14. In 2017, approximately how often was fresh bedding material added to the bedding area?

  • At least once a day
  • At least once a week
  • At least once every two weeks
  • At least once a month
  • Less frequently than once a month
    Specify frequency

Q15. In 2017, what method was used to remove manure from pens?

  • None, manure fell through floor slats
  • Hand scraping or shoveling
  • Automated scrapers
    e.g., chain or cable
  • Flushed floor with water
  • Other method
    Specify other method

Q16. How often was manure removed from pens?

  • Every day
  • At least once a week
  • At least once every two weeks
  • At least once a month
  • Less frequently than once a month
    Specify frequency

Q17. Where did the manure from pens go?

  • Into a shallow channel or pit below the barn
  • Directly into a deep pit blow the barn
  • Directly into a manure storage unit outside of the barn

Q18. How often was manure from the subfloor channel or shallow pit removed?

  • Every day
  • At least once a week
  • At least once every two weeks
  • At least once a month
  • Less frequently than once a month
    Specify frequency

Q19. What method was used to remove manure from the subfloor pits or channels?

  • Automated channel scrapers
    e.g., chain or cable
  • Flushed channel with water
  • Open drain plug to allow channel to drain
  • Other method
    Specify other method

Q20. Were sub-floor fans or pit fans used to improve the air quality over manure?

  • Yes
  • No

Q21. In 2017, which of the following practices were used to maintain air quality in and around this building? Select all that apply.

  • Forced ventilation with fans
    Did this system have an air filter?
    • Yes
    • No
  • Natural ventilation
    e.g., windows, curtains, exhaust vents
    Was this system adjusted automatically?
    • Yes
    • No
  • Water misters or coolers
  • Electrostatic precipitators to reduce dust
  • Air exchangers
  • Large tree shelterbelts adjacent to the building
  • Other practices
    Specify other practices

Housing management (Poultry)

Q1. In 2017, what percentage of all egg laying hens were housed in each of the following?

  1. Conventional battery cages
  2. Enriched or furnished cages
  3. Free run
  4. Free range
  5. All other housing designs
    Specify all other housing designs

The questions that follow pertain to the housing of birds in cages.

Q2. For birds kept in conventional battery cages, what unit of measure will you use to report the amount of space per bird?

  • Square meters
  • Square feet
  • Square centimeters
  • Square inches

Q3. In 2017, what was the area per bird kept in conventional battery cages?

[unit of measure] per bird

Q4. In 2017, what was the average number of birds kept in a single conventional battery cage?

Average number of birds

Q5. In 2017, what was the area per bird kept in enriched or furnished cages?

[unit of measure] per bird

Q6. In 2017, what was the average number of birds kept in a single enriched or furnished cage?

Average number of birds

Q7. In 2017, which of the following methods were used to manage manure in the building containing the largest number of egg laying hens in cages?

  • Manure dropped from cages into a pit below the barn
  • Manure dropped from cages onto a conveyer belt which transported manure to storage outside the barn
  • Other method
    Specify other method

Q8. In 2017, were pit fans used to improve air quality over the manure?

  • Yes
  • No

Q9. In 2017, at what frequency was manure transported by the conveyor belt to storage?

  • At least once every two days
  • At least two times per week
  • At least once per week
  • At least once every two weeks
  • Less frequently than once every 2 weeks
    Specify other frequency

Q10. In 2017, which of the following practices were used to maintain the air quality in and around this building containing the largest number of egg laying hens in cages?

Select all that apply.

  • Forced ventilation with fans
    Did this system have an air filter?
    • Yes
    • No
  • Natural ventilation
    e.g., windows, curtains, exhaust vents
    Was this system adjusted automatically?
    • Yes
    • No
  • Water misters or coolers
  • Electrostatic precipitators to reduce dust
  • Air exchangers
  • Large tree shelterbelts adjacent to the building
  • Drying fans to reduce moisture content of manure on conveyor belts or pits below barn
  • Additives applied to manure on conveyor belt
    e.g., to reduce ammonia emissions
    Specify additives
  • Other practice
    Specify other practice

The following questions concern the housing for birds not in cages.

Q11. What unit of measure will you use to report the floor area of buildings where birds are housed?

  • Square meters
  • Square feet

The following questions will concern the type of bird selected below.

Q12. Please select which type of bird for meat should be used for the following questions.

  • Broilers, roasters, Cornish
  • Turkeys

Q13. In 2017, what was the floor area of the building used to house the largest number of [birds for meat]?

Exclude smaller enclosures used early in the birds development.

Floor area in [unit of measure]

Q14. In 2017, how many [birds for meat] are kept in this building during a typical production cycle?

Number of [birds for meat]

The following questions will concern the type of bird selected below.

Q15. Please select the type of breeding bird to be used for the following questions.

  • Egg layer breeders
  • Broilers, roasters, Cornish breeders
  • Turkey breeders
  • [other poultry]

Q16. In 2017, what was the floor area of the building used to house the largest number of [birds for breeding]?

Exclude smaller enclosures used early in the birds development.

Floor area in [unit of measure]

Q17. In 2017, how many [birds for breeding] are kept in this building during a typical production cycle?

Number of [birds for breeding]

The following questions will concern the type of bird selected below.

Q18. Please select the type of bird to be used for the following questions on housing management practices.

  • Broilers, roasters, Cornish
  • Turkeys
  • Egg layer breeders
  • Broilers, roasters, Cornish breeders
  • Turkey breeders
  • [other poultry]

Please answer the following questions for the building housing the largest number of [birds].

Q19. In 2017, what floor material was typically used in this building?

Select all that apply.

  • Concrete
    • Solid
    • Slatted
  • Wood
    • Solid
    • Slatted
  • Rubber
    • Solid
    • Slatted
  • Plastic or synthetic
    • Solid
    • Slatted
  • Clay layer
  • Other soil type
    Specify other soil type
  • Other material
    Specify other material

Q20. In 2017, what type of material was primarily used for bedding?

  • Sawdust
  • Shavings
  • Forest product
    Specify forest product
  • Straw
    Specify straw
  • Crop residue
    e.g., chaff, screenings
    Specify crop residue
  • Other material
    Specify other material
  • No bedding material was used

Q21. In 2017, what was the thickness of the [bedding] that was applied at the start of this production cycle?

  • Less than three inches
  • Three to less than five inches
  • Five or more inches

Q22. In 2017, approximately how often was the bedding and poultry litter completely removed from the barn?

  • After each production cycle
  • After two production cycles
  • After three production cycles
  • After more than three production cycles

Q23. In 2017, which of the following practices were used to refresh bedding between production cycles?

Select all that apply.

  • Mixed underlying litter with surface manure
  • Added new bedding on top of litter
    Specify new bedding
  • Other additives
    e.g., lime
    Specify other additives
  • Other practice
    Specify other practice
    OR
  • No practices were used to refresh the bedding

Q24. In 2017, which of the following practices were used to maintain the air quality in and around this building housing the largest number of [birds]?

Select all that apply.

  • Forced ventilation with fans
    Did this system have an air filter?
    • Yes
    • No
  • Natural ventilation
    e.g., windows, curtains, exhaust vents
    Was this system adjusted automatically?
    • Yes
    • No
  • Water misters or coolers
  • Electrostatic precipitators to reduce dust
  • Air exchangers
  • Large tree shelterbelts adjacent to the building
  • Additives applied to litter or air space in barn during production cycle
    e.g., to reduce ammonia emissions
    Specify additives
  • Other practices
    Specify other practices
    OR
  • None of the above

Calf management

The following questions are about cows and their calves.

Q1. In 2017, were the majority of the calves born on this operation pure breed, cross-breed or mixed-breed?

  • Pure breed
  • Cross breed
  • Mixed breed

Q2. What was the breed of these pure breed calves?

If more than one, select the breed of the majority of calves.

  • Angus
  • Hereford
  • Charolais
  • Limousin
  • Simmental
  • Gelbvieh
  • Blonde d'Aquitaine
  • Maine-Anjou
  • Shorthorn
  • Other
    Specify other breed

Q3. What breeds are contained in these [cross breed/mixed breed] calves?

Select all that apply.

  • Angus
  • Hereford
  • Charolais
  • Limousin
  • Simmental
  • Gelbvieh
  • Blonde d'Aquitaine
  • Maine-Anjou
  • Shorthorn
  • Other
    Specify other breed

Q4. Please indicate the unit of measure that will be used to declare animal weight.

  • Pounds (lb.)
  • Kilograms (kg)

Q5. In 2017, what were the average weights for each of the following?

If more than one breed, report for the breed of the majority.

  1. Calf birth weight
  2. Weaning weight
  3. Mature cow weight

Q6. At what age are calves usually weaned?

If more than one breed, report for the breed of the majority.

Age weaned Weeks or months

Q7. In 2017, what was this operations' weaned success rate for

Weaned success rate is the number of weaned calves per number of heifers or cows exposed to breeding service.

  1. first calf heifers
  2. all other cows

Piglet management

Q1. In 2017, what were the average values for the following?

Number of piglets born alive per litter

Weaning weight Unit of measure

Piglet age at weaning (in days)

Number of weaned piglets per litter

Crop inventory

Q1. What unit of measure will be used to report land areas?

  • Acres
  • Hectares

Q2. In 2017, how many [unit of measure] of the following crop types were grown on this operation?

Include all land used by this operation, i.e., owned, rented, leased or crop-shared.

Exclude any land rented or crop-shared to others.

Note: Count any land areas that were used for multiple purposes only once.

Report 0 if no crops were grown in 2017.

  1. Forage crops grown for hay, silage or seed
    Include grass, clover, alfalfa mixtures, tame hay etc.
  2. Field crops used for grain, seed, or feed
    Include cereals, oilseeds, corn, pulses and other field crops.
  3. Vegetables, fruit, berries or nuts grown for sale
    Include potatoes and sugar beets.
  4. All other crop types
    Specify all other crop types

Q3. In 2017, did this operation use any other land for pasture?

Include any tame, seeded or natural land, or woodland used for pasture.

  • Yes
    • How many [unit of measure]?
  • No

Crop sales

Q1. Of the forage crops that were harvested in 2017, were any sold or will any be sold from this operation?

Include grass, clover, alfalfa mixtures and tame hay harvested for hay, silage or seed.

  • Yes
    Approximately what percentage was or will be sold?
    • Less than 25%
    • 25% to less than 50%
    • 50% to less than 75%
    • 75% to less than 100%
    • 100%
  • No

Q2. Of the field crops that were harvested in 2017, were any sold or will any be sold from this operation?

Include cereals, oilseeds, corn, pulses and other field crops harvested for grain, seed or feed.

  • Yes
    Approximately what percentage was or will be sold?
    • Less than 25%
    • 25% to less than 50%
    • 50% to less than 75%
    • 75% to less than 100%
    • 100%
  • No

Feeding practices (Dairy/Beef)

The following questions are about the feeding practices for [dairy/beef] cattle on this operation.

Q1. In 2017, was any of the forage feed consumed by [dairy/beef] cattle grown on this operation?

Include all hay, silage and green feed from forages and field crops.

Exclude pasture, grains, grain-based products and protein supplements.

  • Yes
    What percentage was grown on this operation?
    • Less than 25%
    • 25% to less than 50%
    • 50% to less than 75%
    • 75% to less than 100%
    • 100%
  • No

Q2. In 2017, was grain-based feed provided to beef cattle on this operation?

  • Yes
  • No

Q3. In 2017, was any of the grain-based feed consumed by [dairy/beef] cattle grown on this operation?

Include all grains, grain-based products and protein supplements.

Exclude all pasture and forages.

  • Yes
    What percentage was grown on this operation?
    • Less than 25%
    • 25% to less than 50%
    • 50% to less than 75%
    • 75% to less than 100%
    • 100%
  • No
    Which of the following best describes how this feed was purchased or provided?
    • It was purchased or provided as pre-mixed feed
    • It was purchased or provided as separate feed ingredients

Feeding practices (Poultry)

Q1. In 2017, was any of the feed consumed by poultry grown on this operation?

Exclude crops sold to a feed mill and then purchased as part of a total feed ration.

  • Yes
    What percentage was grown on this operation?
    • Less than 25%
    • 25% to less than 50%
    • 50% to less than 75%
    • 75% to less than 100%
    • 100%
  • No

Q2. In 2017, which of the following crop types were grown on this operation and provided feed to poultry? Select all that apply.

  • Corn or sorghum
  • Cereals
    e.g., barley, oats, wheat, rye, triticale
  • Oilseeds
    e.g., soybean, canola, sunflower
  • Pulses
    e.g., peas, lentils, chickpeas
  • Other
    Specify other crop types

Management of birds

Q1. In 2017, how many different rations were typically used for one production cycle, from start to finish, for [birds for meat] on this operation?

Note: A different ration means a change in feed ingredient composition, not a change in the amount of the same ration fed to an animal.

Number of rations

Q2. In 2017, what was the average age at market for [birds for meat]?

Number of days

Q3. In 2017, what was the average live bird weight at market for [birds for meat]?

Weight Unit of Measure
e.g., 4.8 lb or 2.2 kg

Q4. In 2017, on average how long was the barn vacant between production cycles for [birds for meat]?

Number of days

Q5. In 2017, please indicate whether the following products were used to maintain or improve the health or productivity of [birds for meat] on this operation.

  1. Antibiotics to prevent infection outbreaks
    Include coccidiostats.
  2. Antibiotics for treating infections
    Include coccidiostats.
  3. Vaccines administered or provided on farm
  4. Extra minerals and vitamins above pre-mix
    e.g., electrocytes, super booster
  5. Probiotics
    e.g., lactobacillus
  6. Bentonite or Yeast Cell Wall
  7. Acidifier added to water or feed
  8. Other products

Q6. Please specify the other products used to maintain or improve the health or productivity of [birds for meat].

Other products

Q7. In 2017, what was the egg production per hen on this operation?

Eggs per laying hen, Unit of measure

Q8. In 2017, on average, at what age were pullets ready for egg production?

Age, Unit of measure

Q9. Considering the most recently completed cycle of laying hens, for how many weeks did these hens produce eggs?

Number of weeks

Q10. In 2017, please indicate whether the following products were used to maintain or improve the health or productivity of egg laying hens on this operation.

  1. Antibiotics to prevent infection outbreaks
    Include coccidiostats.
  2. Antibiotics for treating infections
    Include coccidiostats.
  3. Vaccines
  4. Extra minerals and vitamins above pre-mix
    e.g., electrocytes, super booster
  5. Probiotics
    e.g., lactobacillus
  6. Bentonite or Yeast Cell Wall
  7. Acidifier added to water or feed
  8. Other products

Q11. Please specify the other products used to maintain or improve the health or productivity of egg laying hens.

Other products

Q12. In 2017, for [birds for breeding] what was the average percentage of laid eggs that resulted in sold chicks?

Percentage

Q13. In 2017, for [birds for breeding] how many sold hatchlings were produced by this operation?

Number of hatchlings

Q14. In 2017, on average, at what age were pullets ready for egg production?

Age, Unit of measure

Q15. Considering the most recently completed cycle of [birds for breeding], for how many weeks did these hens produce hatchling eggs?

Number of weeks

Q16. In 2017, please indicate whether the following products were used to maintain or improve the health or productivity of [birds for breeding]on this operation.

  1. Antibiotics to prevent infection outbreaks
    Include coccidiostats.
  2. Antibiotics for treating infections
    Include coccidiostats.
  3. Vaccines administered or provided on farm
  4. Extra minerals and vitamins above pre-mix
    e.g., electrocytes, super booster
  5. Probiotics
    e.g., lactobacillus
  6. Bentonite or Yeast Cell Wall
  7. Acidifier added to water or feed
  8. Other products

Q17. Please specify the other product used to maintain or improve the health or productivity of [birds for breeding].

Other product

Feeding practices (Pig)

Q1. In 2017, was any of the feed consumed by pigs grown on this operation?

Exclude crops sold to a feed mill and then purchased as part of a total feed ration.

  • Yes
    What percentage was grown on this operation?
    • Less than 25%
    • 25% to less than 50%
    • 50% to less than 75%
    • 75% to less than 100%
    • 100%
  • No
    Which of the following best describes how this feed was purchased or provided?
    • It was purchased or provided as a total pre-mixed feed
    • It was purchased or provided as separate feed ingredients

Q2. In 2017, which of the following crop types grown on this operation provided feed to pigs?

Select all that apply.

  • Corn or sorghum
  • Cereals
    e.g., barley, oats, wheat, rye, triticale
  • Oilseeds
    e.g., soybean, canola, sunflower
  • Pulses
    e.g., peas, lentils, chickpeas
  • Other
    Specify other crop types

Q3. In 2017, what percentage of feed provided to pigs on this operation used the following methods?

  1. Dry feeder
  2. Wet and dry feeder
  3. Liquid feeder
  4. All other methods
    Specify all other methods

Q4. In 2017, please indicate which of the following practices were used to maintain or improve the health or productivity of [pigs] on this operation.

  1. Antibiotics to prevent infection outbreaks
    Include coccidiostats.
  2. Antibiotics for treating infections
    Include coccidiostats.
  3. Amino acids
  4. Extra minerals above pre-mix
    e.g., zinc, copper
  5. Probiotics or prebiotics
  6. Acidifier added to water or feed
  7. Other practice

Q5. Please specify the other practices used to maintain or improve the health or productivity of [pigs].

Other practices

Q6. In 2017, what was the average live weight of weaner, nursery or starter pigs when they were moved to a grower or finishing barn?

Average live weight, Unit of measure

Q7. In 2017, how many different rations were used for one production cycle, from start to finish, for grower and finishing pigs on this operation?

Note: A different ration means a change in feed ingredient composition, not a change in the amount of the same ration fed to an animal.

Rations

Q8. In 2017, what was the average live weight at market of finisher pigs?

Average live weight, Unit of measure

Feed rations (Dairy)

The following questions concern the feed ration currently fed to [dairy cattle] on this operation.

Q1. What percentage of the ration currently fed to [dairy cattle] comes from the following sources, regardless of where it was grown?

Report percentages based on actual weight.

Forages

  1. Corn silage
  2. Other field crop silage, greenfeed or hay
    e.g., cereals, oilseeds, pulses
  3. Grasses
    e.g., timothy, fescues, wheat grasses, rye gasses, orchard grass, brome grass
  4. Legumes
    e.g., alfalfa, clover, sainfoin, trefoil, vetches
  5. Straw
  6. All other sources of forages
    Specify all other sources of forages

Grain-based feed

  1. Corn grain
  2. Cereal grain
    e.g., barley, wheat, oats, triticale
  3. Protein or amino acid supplements
  4. All other sources of grain-based feed
    Specify all other sources of grain-based feed

Q2. What quantity of grain-based feed is currently fed per [dairy cattle] each day?

Quantity, Unit of measure

Q3. In 2017, what was the average daily milk production per cow?

Average production, Unit of measure

Q4. In 2017, please indicate whether the following products were used to maintain or improve the health or productivity of [dairy cattle].

  1. Buffers
    e.g., sodium bicarbonate, Mag-Ox
  2. Rumen modifiers
    e.g., yeast or yeast culture, probiotics, prebiotics
  3. Rumensin
  4. Supplemental B-vitamins
  5. Mycotoxin binders
    e.g., bentonite, Yeast Cell Wall, glucomannan products, enzymes
  6. Rumen stable or protected fat
    e.g., palm fat
  7. Other products

Q5. Please specify the other products used to maintain or improve the health or productivity of [dairy cattle].

Other products

Feed rations (Beef)

The following questions concern the feed ration currently fed to [beef cattle] on this operation.

Q1. Are any [beef cattle] currently being fed hay, silage, or green feed?

  • Yes
  • No

Q2. What percentage of the ration currently fed to [beef cattle] comes from the following sources, regardless of where it was grown?

Report percentages based on actual weight.

Forages

  1. Corn silage
  2. Other field crop silage, greenfeed or hay
    e.g., cereals, oilseeds, pulses
  3. Grasses
    e.g., timothy, fescues, wheat grasses, rye gasses, orchard grass
  4. Legumes
    e.g., alfalfa, clover, sainfoin, trefoil, vetches
  5. Other sources of forages
    Specify other source of forages

Grain-based feed

  1. Corn grain
  2. Cereal grain
    e.g., barley, wheat, oats, triticale
  3. Protein or amino acid supplements
  4. Other source of grain-based feed
    Specify other source of grain-based feed

Q3. What quantity of grain-based feed is currently fed per [beef cattle] each day?

Quantity, Unit of measure

Q4. In 2017, were the following products used to maintain or improve the health or productivity of [beef cattle].

  1. Antibiotics to prevent infection outbreaks
  2. Antibiotics for treating infections
  3. Ionophores
  4. Ear implants
  5. Ractopamine or Zilpaterol
  6. Rumen modifiers
    e.g., yeast or yeast culture, probiotics, prebiotics
  7. Bentonite, Yeast Cell Wall, glucomannan products, or enzymes
  8. Other product

Q5. Specify the other products used to maintain or improve the health or productivity of [beef cattle].

Other products

Q6. Indicate the unit of measure that will be used to declare animal live weight.

  • Pounds (lbs)
  • Kilograms (kg)

Q7. In 2017, what was the average live weight of backgrounding heifers and steers when they were ready for finishing?

  1. Backgrounding heifers
  2. Backgrounding steers

Q8. In 2017, what was the average live weight of finishing heifers and steers when they were shipped to market?

  1. Finishing heifers
  2. Finishing steers

Feed rations (Pig)

Please complete the following question for the feed ration currently being fed to [pigs] on this operation.

Q1. What percentage of the ration fed to [pigs] consists of the following?

  1. Corn or sorghum
  2. Cereals
    e.g., barley, oats, wheat, rye, triticale
  3. Oilseeds
    e.g., soybean, canola, sunflower
  4. Pulses
    e.g., peas, lentils, chickpeas
  5. Animal proteins
    e.g., whey, skim milk powder
  6. All other sources
    Specify all other sources

Grazing management (Dairy)

Include all land used by this operation, i.e., owned, rented, leased or crop-shared.

Exclude any land rented or crop-shared to others.

Q1. Between April and October 2017, did dairy cattle graze on this operation?

  • Yes
  • No

Q2. What was the total area of land grazed by dairy cattle during this time?

Area of land grazed in [unit of measure]

Q3. What type of dairy cattle grazed on this operation during this time?

Select all that apply.

  • Milking cows
  • Dry cows
  • Replacement heifers, one year and over
  • Calves, under one year

Q4. Between April and October 2017, how many weeks were the following grazing management practices used for [milking cows/replacement heifers]?

If not applicable, please answer 0.

Milking cows

  1. Grazing on pasture, with supplemental feed provided
    e.g., hay, grain
  2. Grazing on pasture with no supplemental feed

Replacement heifers

  1. Grazing on pasture, with supplemental feed provided
    e.g., hay, grain
  2. Grazing on pasture with no supplemental feed

Winter feeding management

Include all land used by this operation, i.e., owned, rented, leased or crop-shared.

Exclude any land rented or crop-shared to others.

Q1. Since November 2017, did any beef cattle graze or feed in an open field or pasture on this operation?

  • Yes
  • No

Q2. Since November 2017, which of the following types of beef cattle on this operation grazed or were fed in an open field or pasture most often?

  • Finishing heifers or steers
  • Backgrounding heifers or steers
  • Cows with or without calves
  • Replacement heifers

Q3. Since November 2017, how many weeks have the following management practices been used for [beef cattle]?

  1. Grazing in an open field or pasture without supplemental feed brought on site
  2. Grazing in an open field or pasture with supplemental feed brought on site
  3. In an open field or pasture relying mostly on feed brought on site

Q4. Which of the following types of vegetation were grazed by [beef cattle] during this time?

Select all that apply.

  • Residues or aftermath growth from harvested field crops
    Include stubble, straw, chaff, volunteer crop and weed growth.
  • Swathed, cut or windrowed crops
    e.g., swath grazing
  • Standing corn
  • Other standing dormant vegetation
    e.g., stockpiled forages, cover crops
  • Other type of vegetation
    Specify other type of vegetation

Q5. Since November 2017, what type of feed was fed to [beef cattle] in an open field or pasture?

Select all that apply.

  • Whole bales of hay or straw
    e.g., bale grazing
  • Unrolled bales of hay or straw
  • Processed hay, silage or straw fed on the ground in a windrow or pile
  • Processed hay, silage or straw fed in a trough
  • Grain or other supplements
    Specify grain or other supplements

Q6. Which of the following statements best describes the placement of feed during this time?

  • Feed was provided in the same location for the entire winter feeding season
  • Feed was provided several times in the same location and then moved to a different location
  • Feed was provided only once in the same location, with subsequent feedings always in a new location
  • Other placement
    Specify other placement

Q7. From year to year, is feed placed in the same locations for winter feeding?

  • Yes
    How often is feed placed in the same location?
    • Every year
    • Every two years
    • Every three to five years
    • Less frequently than every five years
  • No

Q8. Which of the following methods were used to provide winter shelter to beef cattle while in an open field or pasture?

Select all that apply.

  • Natural tree bluffs and wooded areas in field
  • Planted shelterbelts in field
  • Constructed stationary windbreaks or shelters in field
  • Portable windbreaks or shelters, moved to different locations in field
  • Cattle walked to farmyard for shelter
    e.g., farmstead shelterbelt, stationary windbreak, barn
  • Other method
    Specify other method

Grazing management (Beef)

Include all land used by this operation, i.e., owned, rented, leased or crop-shared.

Exclude any land rented or crop-shared to others.

Q1. In 2017, which of the following practices were used on pasture land to achieve optimal grazing pressure or livestock distribution?

Select all that apply.

  • Mobile electric fencing
  • Strategic placement of salt, minerals, water sources
  • Shade or shelter
  • Moved beef cattle to different areas within a large field
  • Other practice
    Specify other practice
    OR
  • No practices were used

Q2. In 2017, which of the following practices were used on pasture land?

Select all that apply.

  • Irrigated
  • Applied fertilizer
  • Applied manure
  • Removed trees, controlled weeds or brush
  • Also used land for hay or silage
  • Reseeded for pasture use
  • Broke up pasture to convert to crop production
  • Other practice
    Specify other practice
    OR
  • No practices were used

Q3. Between April and October 2017, which of the following types of beef cattle on this operation grazed most often?

  • Finishing heifers or steers
  • Backgrounding heifers or steers
  • Cows with or without calves
  • Replacement heifers

Q4. Between April and October 2017, how many weeks were the following grazing management practices used for [beef cattle]?

  1. Grazing on pasture, with supplemental feed provided
    e.g., hay, grain
  2. Grazing on pasture with no supplemental feed provided

The following questions concern a specific paddock; an enclosed area of pasture land, that was used for grazing primarily [beef cattle] between April and October 2017.

Q5. What was the total area of this paddock?

[unit of measure]

Q6. Between April and October 2017, on average, what was the number of [beef cattle] in this paddock when it was being grazed?

Exclude calves for cow/calf pairs.

Average number of animals

Q7. What was the average length of time [beef cattle] grazed this paddock before being moved to another [paddock, or were given access to an ungrazed area within this paddock using mobile electric fencing]?

  • Less than three days
  • Three days to less than a week
  • One week to less than two weeks
  • Two weeks to less than a month
  • One month to less than two months
  • Two months or more
  • Beef cattle kept in the same paddock and had access to the whole paddock for the entire grazing season

Q8. Between April and October 2017, how many times was this paddock used for grazing?

Note: To be counted as a separate grazing period, there must be a length of time in between where the paddock is not being grazed.

  • One time
  • Two times
  • Three times
  • Four times
  • Five or more times

Q9. What is the most common species composition in this paddock?

  • Mostly native grasses
  • Mostly tame grasses
  • Mixture of tame grasses and legumes
  • Cereal or cover crops
    e.g., barley, oats, rye
  • Other composition
    Specify other composition

Q10. Does this paddock contain any of the following?

Select all that apply.

  • Trees or shrubs
  • Wetlands
  • Palatable weeds
  • Unpalatable weeds

Livestock access to surface water

The following questions concern all grazing land and open field feeding areas on this operation.

Q1. In 2017, were any pastures, grazing paddocks, or open field feeding areas adjacent to surface water?

  • Yes
  • No

Q2. In 2017, what type of access did livestock have to surface water, in these areas?

  • Unlimited access
  • Limited access
  • No access

Q3. In 2017, which of the following were used to restrict access to surface water?

Select all that apply.

  • Fencing along shoreline
  • Remote or offsite water system to a trough
  • Access ramps for direct watering
  • Stream crossings
  • Limited or controlled grazing in riparian areas or adjacent to surface water
  • Feeding or bedding sites located away from water bodies
  • Other
    Specify other restrictions

Manure management

Q1. In 2017, was manure stored on this operation?

Include manure stored in a pit, pile, tank, lagoon or other structure.

Exclude manure left in barns, pens, corrals or bedding areas.

  • Yes
  • No

Q2. In 2017, was most of this manure stored as

  • liquid manure
    Include semi-solid.
  • solid manure
  • equal amounts of solid and liquid manure

Q3. In 2017, was any of the manure produced by [birds/animals] removed from this operation?

Include manure sold or given away to another operation.

Exclude any manure applied to the land or moved to another location on the operation.

  • Yes
    What percentage of this manure was removed?
    • Less than 25%
    • 25% to less than 50%
    • 50% to less than 75%
    • 75% to less than 100%
    • 100%
  • No

Liquid manure storage and treatment

Q1. In 2017, was there more than one structure used to store liquid manure on this operation?

Consider multi-cell structures, where one cell overflows into another cell, as one structure.

  • Yes
  • No

The following questions concern the structure that held the largest amount of liquid manure on the operation in 2017.

Q2. In 2017, which of the following best describes the structure that held the largest amount of liquid manure on this operation?

  • Multi-cell below ground lagoon, pit, or tank, where one cell overflows to another
    How many cells make up this system?
  • Earthen lagoon or pit
  • Other below-ground tank or pit (outside of building)
  • Above-ground tank (outside of building)
  • Partial below ground tank or pit (outside of building)
  • Pit or tank below slats or floor in building
  • Other structure
    Specify other structure

Q3. In 2017, approximately what percentage of the total amount of liquid manure stored on this operation, was stored in this storage structure?

Include what is stored in all cells of this system.

  • Less than 50%
  • 50% to 75%
  • 76% to 95%
  • More than 95%

Q4. How many months of manure production can this storage structure hold?

Include what is stored in all cells of this system.

  • Less than three months
  • Three to less than five months
  • Five months to a year
  • More than a year

Q5. What is the total capacity of this storage structure?

Include what is stored in all cells of this system.

Total capacity, Unit of measure

Q6. What is the depth (at the deepest part) of this storage structure?

If cells have different depths provide the average value.

Depth, Unit of measure

Q7. How would you like to report the surface measurement of this storage structure?

Provide the surface measurement for one cell. If the cells have different surface sizes, provide the average value.

  • Surface area
    Surface area of storage structure
    Surface area, Unit of measure
  • Diameter (round structure)
    Diameter of storage structure
    Diameter length, Unit of measure
  • Length X Width (square or rectangular structure)
    Length X Width of storage structure
    Length, Width, Unit of measure

Q8. In 2017, what was the covering system for this storage structure?

A cover is typically a tarp or other type of material that lies on the surface of stored manure.

Exclude naturally forming crust.

  • No Cover
  • Concrete
  • Structure with roof
  • Straw
  • Floating cover in contact with surface of manure
    e.g., geomembrane, tarp
  • Other covering system
    Specify other covering system

Q9. In 2017, which of the following practices were used to manage or treat all liquid manure stored on this operation?

Select all that apply.

  • Agitated prior to land application
  • Aerated to increase oxygen and facilitate decomposition
  • Mechanically separated coarse solids
    Exclude natural separation from multi-cell lagoons.
  • Mixed with additives to prevent solid settling, reduce odour, modify composition, etc.
  • Anaerobic biodigester or methane capture from a sealed cover
  • Other
    Specify other practice
    OR
  • No practices used

Solid manure storage and treatment

Q1. In 2017, which of the following methods were used to store solid manure on this operation?

Select all that apply.

  • Storage piles in farmyard
  • Storage piles in field or at edge of field
  • Pits below barns
  • Other method
    Specify other method

Q2. In 2017, which of the following was used to store most of the solid manure?

  • Storage piles in farmyard
  • Storage piles in field or at edge of field
  • Pits below barns
  • [Other method]

Q3. In 2017, did any of the [storage types] have a

A cover is typically a tarp or other type of material that lies on the surface of stored manure.

  1. concrete or impermeable pad
  2. runoff containment
  3. roof
  4. cover

Q4. In 2017, which of the following practices were used to manage or treat any of the solid manure stored on this operation?

Select all that apply.

  • Occasionally turned or mixed to encourage partial decomposition
  • Actively composted
    i.e., ensured proper temperature, moisture, and carbon-nitrogen ratio
  • Mixed with additives to modify odour, pH, nutrients etc.
  • Added to an anaerobic digestion system
  • Other practice
    Specify other practice
    OR
  • No practices used

Q5. On average, how long is solid manure stored before it is applied to land or removed from the operation?

  • Less than six months
  • Six months to under a year
  • One to two years
  • More than two years

Manure land application

Q1. Between October 2016 and September 2017, was manure applied on cropland?

  • Yes
  • No

Q2. What type of manure was applied to this cropland?

  1. Mostly liquid manure
  2. Mostly solid manure
  3. Equal amounts of liquid and solid manure

Q3. Between October 2016 and September 2017, was [solid/liquid manure] applied to land used for forage crops?
e.g., grass, alfalfa, clover

  1. Yes
    How many [unit of measure] received [solid/liquid manure]?
    Area
  2. No

Q4. Between October 2016 and September 2017, was [solid/liquid manure] applied to land used for field crops?

  • Yes
    How many [unit of measure] received [solid/liquid manure]?
    Area
  • No

Liquid manure land application (Field crops)

Q1. How often is liquid manure tested for nutrient content?

  • Every year
  • Every two to three years
  • Every four to five years
  • Every six years or more
  • Do not test liquid manure

Q2. Between October 2016 and September 2017, which field crop received liquid manure to the largest area of land?

  1. Barley
  2. Buckwheat
  3. Canary seed
  4. Canola (rapeseed)
  5. Chick peas
    Include garbanzo beans
  6. Corn for grain
  7. Corn for silage
  8. Dry field peas
    Exclude fresh green peas.
  9. Dry white beans (navy and pea beans)
  10. Flaxseed
  11. Lentils
  12. Mustard seed
  13. Oats
  14. Fall rye (seeded in late summer or fall 2017)
  15. Spring rye
  16. Soybeans
  17. Sunflowers (standard and dwarf varieties)
  18. Triticale
  19. Spring wheat
  20. Durum wheat
  21. Winter wheat (seeded in late summer or fall 2017)
  22. Other dry beans
    e.g., pinto, kidney, cranberry beans, lima, great northern
  23. [Other field crop]

Q3. In 2017, what were the most common field crops grown on land that received liquid manure between October 2016 and September 2017?

Select up to three crops.

  1. Barley
  2. Buckwheat
  3. Canary seed
  4. Canola (rapeseed)
  5. Chick peas
    Include garbanzo beans
  6. Corn for grain
  7. Corn for silage
  8. Dry field peas
    Exclude fresh green peas.
  9. Dry white beans (navy and pea beans)
  10. Flaxseed
  11. Lentils
  12. Mustard seed
  13. Oats
  14. Fall rye (seeded in late summer or fall 2017)
  15. Spring rye
  16. Soybeans
  17. Sunflowers (standard and dwarf varieties)
  18. Triticale
  19. Spring wheat
  20. Durum wheat
  21. Winter wheat (seeded in late summer or fall 2017)
  22. Other dry beans
    e.g., pinto, kidney, cranberry beans, lima, great northern
  23. Other type of field crops
    e.g., ginseng, caraway seed, hemp, tobacco, spelt, coriander and other spices
    Specify other type of field crops

Q4. Thinking of all liquid manure spread on field crops between October 2016 and September 2017, what percentage of that manure was applied during each of the following time periods?

  1. October to December 2016
  2. January to March 2017
  3. April to June 2017
  4. July to September 2017

Q5. During the last five years, approximately how often was liquid manure applied to land used to grow field crops?

If frequency varied for different fields or crop types, select all that apply.

  1. At least once a year
  2. Once every two years
  3. Once every three years
  4. Less than once every three years
  5. Some cropland never received liquid manure

Q6. Which of the following methods were used to apply liquid manure to land used to grow field crops?

Report the most common practice for all field cropland where liquid manure was applied.

Select all that apply.

  1. Direct injection into the soil
  2. Narrow bands on soil surface, below crop canopy
    e.g., trailing hose, sleighfoot, sidedress
  3. Broadcast on surface and not worked into the soil
  4. Broadcast on surface and worked into the soil
    In general, when was this liquid manure worked into the soil?
    • Within four hours of application
    • Day of application, but more than four hours after application
    • One to two days after application
    • Three to five days after application
    • More than five days after application

Liquid manure land application (Forage crops)

Q1. How often is liquid manure tested for nutrient content?

  • Every year
  • Every two to three years
  • Every four to five years
  • Every six years or more
  • Do not test liquid manure

Q2. Between October 2016 and September 2017, what area of land where forage crops were grown or seeded received liquid manure?

[Unit of measure]

Q3. Thinking of all liquid manure spread on forage land between October 2016 and September 2017, what percentage of that manure was applied during each of the following time periods?

  1. October to December 2016
  2. January to March 2017
  3. April to June 2017
  4. July to September 2017

Q4. During the last five years, approximately how often was liquid manure applied to land used to grow forage crops?

If this varies for different fields or forage types, select all that apply.

  1. At least once a year
  2. Once every two years
  3. Once every three years
  4. Less than once every three years
  5. Some forage land never received liquid manure

Q5. Between October 2016 and September 2017, which of the following received more liquid manure?

  • Established forage stands
  • Land prior to seeding a new forage stand

Q6. Which of the following methods were used to apply liquid manure to [established forage stands/land prior to seeding forage crops]?

Select all that apply.

  1. Direct injection into the soil
  2. Narrow bands on soil surface, below crop canopy
    e.g., trailing hose, sleighfoot, sidedress
  3. Broadcast on surface and not worked into the soil
  4. Broadcast on surface and worked into the soil
    In general, when was this liquid manure worked into the soil?
    • Within four hours of application
    • Day of application, but more than four hours after application
    • One to two days after application
    • Three to five days after application
    • More than five days after application

Solid manure land application (Field crops)

Q1. How often is solid manure tested for nutrient content?

  • Every year
  • Every two to three years
  • Every four to five years
  • Every six years or more
  • Do not test solid manure

Q2. In 2017, what were the most common field crops grown on land that received solid manure between October 2016 and September 2017?

Select up to three crops.

  1. Barley
  2. Buckwheat
  3. Canary seed
  4. Canola (rapeseed)
  5. Chick peas
    Include garbanzo beans
  6. Corn for grain
  7. Corn for silage
  8. Dry field peas
    Exclude fresh green peas.
  9. Dry white beans (navy and pea beans)
  10. Flaxseed
  11. Lentils
  12. Mustard seed
  13. Oats
  14. Fall rye (seeded in late summer or fall 2017)
  15. Spring rye
  16. Soybeans
  17. Sunflowers (standard and dwarf varieties)
  18. Triticale
  19. Spring wheat
  20. Durum wheat
  21. Winter wheat (seeded in late summer or fall 2017)
  22. Other dry beans
    e.g., pinto, kidney, cranberry beans, lima, great northern
  23. Other field crops
    e.g., ginseng, caraway seed, hemp, tobacco, spelt, coriander and other spices
    Specify of field crop

Q3. Thinking of all solid manure spread on field crops between October 2016 and September 2017, what percent of that manure was applied during the following time periods?

  1. October to December 2016
  2. January to March 2017
  3. April to June 2017
  4. July to September 2017

Q4. Which of the following methods were used to apply solid manure to land used to grow field crops?

Select all that apply.

  1. Broadcast on surface and not worked into the soil
  2. Broadcast on surface and worked into the soil
    In general, when was this solid manure worked into the soil?
    • Within four hours of application
    • Day of application, but more than four hours after application
    • One to two days after application
    • Three to five days after application
    • More than five days after application

Q5. During the last five years, approximately how often was solid manure applied to land used to grow field crops?

If frequency varied for different fields or crop types, select all that apply.

  1. At least once a year
  2. Once every two years
  3. Once every three years
  4. Less than once every three years
  5. Some field crops never receive solid manure

Solid manure land application (Forage crops)

Q1. How often is solid manure tested for nutrient content?

  • Every year
  • Every two to three years
  • Every four to five years
  • Every six years or more
  • Do not test solid manure

Q2. Between October 2016 and September 2017, what area of land where forage crops were grown or seeded received solid manure?

  • [Unit of Measure]

Q3. Thinking of all solid manure spread on forage land between October 2016 and September 2017, what percentage of that manure was applied during each of the following time periods?

  1. October to December 2016
  2. January to March 2017
  3. April to June 2017
  4. July to September 2017

Q4. During the last five years, approximately how often was solid manure applied to land used to grow forage crops?

If this varies for different fields or forage types, select all that apply.

  1. At least once a year
  2. Once every two years
  3. Once every three years
  4. Less than once every three years
  5. Some forage land never receives solid manure

Q5. Between October 2016 and September 2017, was solid manure applied to land prior to seeding forage crops?

  • Yes
  • No

Q6. In general, when was this solid manure worked into the soil?

  • Within four hours of application
  • Day of application, but more than four hours after application
  • One to two days after application
  • Three to five days after application
  • More than five days after application

Management style and innovation

Q1. In the last five years, 2013 to 2017, were any of the following used to manage staff requirements?

Select all that apply.

  • Adopted improved technology with lower staff requirements
  • Existing staff worked overtime
  • Temporary Foreign Workers program
  • Employee training and certification programs
  • Restructured farm operation to reduce or eliminate certain types of farm functions
    e.g., grew less feed and purchased more
  • Other
    Specify other method
    OR
  • Not applicable

Q2. In 2017, were custom operators used to perform farm work on this operation related to [livestock/crop] production?

  • Yes
  • No

Q3. In 2017, which of the following tasks were performed by a custom operator?

Select all that apply.

  • Cleanout of manure from barn or corral
  • Manure application or transport off farm
  • Fertilizer application
  • Crop or forage seeding
  • Crop spraying
  • Crop or forage harvesting
  • Crop or forage transport
  • Custom feeding or grazing animals on another operation
  • Processing feed grown on this operation for [birds/animals] on this operation
  • Carcass disposal
  • Catching and moving poultry (off farm or to another barn)
  • Application of bedding or litter
  • Washing or disinfection of barn or pens
  • Custom feeding of [birds/animals] on another operation
  • Tillage
  • Seeding or planting
  • Manure or compost application
  • Pesticide application
  • Manure application
  • Fertilizer application
  • Spraying
  • Harvesting
  • Transport
  • Other
    Specify other tasks

Q4. In 2017, which of the following activities used computer technology to enhance or improve this operation's [livestock/crop] production?

Select all that apply.

  • Recording [animal health] and production data
  • Other data collection
    e.g., [livestock] video surveillance, field data collection using GPS or drones, barn air quality, feed or water consumption
    Specify other data collection
  • Controlling farm equipment
    e.g., [robotics, GPS controlled field operations, barn ventilation or lighting, feed delivery]
    Specify farm equipment
  • Recording [field/forage/vegetable, fruit, berry and nut] crop production data
  • Use of specialized software for improved data analysis and information processing
    Specify software
  • Other functions to enhance [livestock/crop] production
    Specify other functions
    OR
  • No computer based technology was used

The following questions concern innovation on this operation.

Innovation is the adoption of new or significantly improved products, processes or business practices on this operation. Innovations must be new to this operation but need not be new to the industry.

Q5. In the last three years, 2015 to 2017, did this operation produce any new or significantly improved crop products?
e.g., new crop varieties, cultivars, hybrids, enhanced product characteristics

  • Yes
  • No

Q6. Was this a [field/forage/vegetable, fruit, berry and nut] crop product?

  • Yes
  • No

Q7. Briefly describe the most important new or significantly improved [field/forage/vegetable, fruit, berry and nut] crop product that has been produced over the last three years.

  • Product

Q8. In the last three years, 2015 to 2017, did this operation produce any new or significantly improved livestock or poultry products?
e.g., type or breed raised, improved quality traits or grade, enhanced product characteristics

  • Yes
  • No

Q9. Was this a [poultry/livestock] product?

  • Yes
  • No

Q10. Briefly describe the most important new or significantly improved [poultry/livestock] product that has been produced over the last three years.

  • Description of product

Q11. In the last three years, 2015 to 2017, did this operation implement any new or significantly improved production practices?

Include:

  • feed management, animal housing, manure storage and treatment, livestock handling, grazing, biosecurity, other animal health and productivity practices
  • seeding or planting, rotations, fertilizer or manure application, pest management, irrigation, harvesting, crop storage, using GPS technology, other soil, land, or crop improvement practices
  • water management, organic farming, halal and other production practices.
  • Yes
  • No

Q12. Was this production practice related to [livestock/crop] production?

  • Yes
  • No

Q13. Briefly describe the most important new or significantly improved [livestock/crop] production practice that has been implemented over the last three years.

  • Description of product

Q14. In the last three years, 2015 to 2017, did this operation implement any new or significantly improved approaches to marketing?
e.g., types of contracts, futures or options, direct marketing

  • Yes
  • No

Q15. In the last three years, 2015 to 2017, did this operation implement any new or significantly improved business management practices?
e.g., approaches to labour requirements, business ownership / partnerships, acquiring inputs, new processing activities, financial processes, management improvements

  • Yes
  • No

Q16. Briefly describe the most important new or significantly improved business management practice, that has been implemented over the last three years.

  • Description of the practice

Q17. In the last three years, 2015 to 2017, how important were the following activities when deciding to try something new on this operation?

  1. Obtaining advice and information from fellow farmers based on their experiences
  2. Attending demonstration farms and field days to observe the innovation implemented
  3. Attending workshops, seminars, meetings, conferences
  4. Obtaining information from input companies
    e.g., seed and feed dealers
  5. Seeking information from independent consultants
  6. Seeking information from regional specialist / extension officers
  7. Reading detailed technical and financial information
  8. Relying on own experiences
  9. Participating in producer associations

Q18. In the last three years, 2015 to 2017, how important were the following factors when deciding to try something new on this operation?

  1. Cost reduction or increase in production
  2. Increase in value of product
    e.g., superior quality, attributes or novel products
  3. Environmental benefits
  4. Benefits for work / family balance
  5. Level of financial risk of the innovation compared to current practice
  6. Access to financial resources to implement the innovation
    e.g., loans, venture capital, other financing
  7. Availability of information to assess the value of the innovation for your farm
  8. Available time
  9. Technical expertise to implement the innovation
  10. Labour requirement
  11. Worker safety

Q19. When it comes to the introduction of new or significantly improved products, processes, or practices does this operation tend to

  • be among the first to try something new
  • wait until at least a few others have tried it first
  • wait until it has been well tested
  • be among the last to try something new

Q20. In the last three years, 2015 to 2017,were any new or significantly improved products, production processes, or business management practices related to [livestock/crop] production considered but not implemented?

  • Yes
  • No

Q21. Briefly describe the most important new or significantly improved product, production process, or business management practice that was considered but not implemented.

  • Description

Environmental farm plan

Q1. Does this operation have a formal, written environmental farm plan?

  • Yes, plan is developed
  • Yes, plan is in development and being reviewed
  • No

Q2. When was this environmental farm plan developed or last updated?

  • Less than two years ago
  • Two to less than five years ago
  • Five to less than 10 years ago
  • Ten or more years ago