Why do we conduct this survey?

The purpose of this survey is to collect information for producing national and provincial level estimates of potato production and value. These estimates will be used to assess the economic health of the industry. Agricultural producers and industry analysts will work with this information to make production and marketing decisions, and government analysts will use it to develop agricultural policies in Canada.

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

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

Other important information

Authorization to collect this information

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

Confidentiality

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

Record linkages

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

Data-sharing agreements

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

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

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

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 Director, Enterprise Statistics Division
150 Tunney's Pasture Driveway
Ottawa, Ontario
K1A 0T6

You may also contact us by email at statcan.esd-helpdesk-dse-bureaudedepannage.statcan@canada.ca or by fax at 613-951-6583.
For this survey, there is a Section 12 agreement with the Prince Edward Island Statistical agency.

For agreements with provincial and territorial government organizations, the shared data will be limited to information pertaining to business establishments located within the jurisdiction of the respective province or territory.

Business or organization and contact information

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

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

Legal Name

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

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

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

Operating Name

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

  • Legal name:
  • Operating name (if applicable):

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

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

  • First name:
  • Last name:
  • Title:
  • Preferred language of communication:
    • English
    • French
  • Mailing address (number and street):
  • City:
  • Province, territory or state:
  • Postal code or ZIP code:
  • Country:
    • Canada
    • United States
  • Email address:
  • Telephone number (including area code):
  • Extension number (if applicable):
    The maximum number of characters is 10.
  • Fax number (including area code):

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

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

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

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

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

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

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

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

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

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

Description and examples

  • This is the current main activity
  • This is not the current main activity
    Provide a brief but precise description of this business or organization's main activity:
    • e.g., breakfast cereal manufacturing, shoe store, software development

Main activity

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

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

  • Yes
    When did the main activity change?
    Date:
  • No

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

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

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

7. You have indicated that the current main activity of this business or organization is: Main activity. Are there any other activities that contribute significantly (at least 10%) to this business or organization's revenue?

  • Yes, there are other activities
    Provide a brief but precise description of this business or organization's secondary activity:
    e.g., breakfast cereal manufacturing, shoe store, software development
  • No, that is the only significant activity

8. Approximately what percentage of this business or organization's revenue is generated by each of the following activities?

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

CAPTION
  Percentage of revenue
Main activity  
Secondary activity  
All other activities  
Total percentage  

Potatoes sold in the 2021 crop year

1. Did you sell any potatoes in the 2021 crop year?

  • Yes
  • No

Quantity sold and total value received for the 2021 crop year

2. For the 2021 crop year, what was the quantity of potatoes sold and the total value received?

Include all grades of potatoes sold.

Exclude any potatoes purchased for re-sale.

Report the amount received after any deductions or bonuses were made.

The following are for the quantity of potatoes sold and the total value received for the 2021 crop year.

Exclude any potatoes purchased for re-sale.

Report the total value received after any deductions or bonuses.

Report total value received taking into account all grades.

CAPTION
  Quantity of potatoes sold Unit of measure Total value received CAN$
a. Tablestock potatoes      
b. Seed potatoes      
c. Processing potatoes      
Unit of measure
  • Metric tonnes
  • Hundredweight (cwt)
  • Imperial tons
  • Barrels (165 pounds)
  • Pounds
  • 10 pound bag
  • 25 pound bag
  • 50 pound bag
  • 75 pound bag
  • Kilograms

Potatoes grown for sale this year

3. Are you growing any potatoes for sale this year?

Please report all planting intentions, if you have not completed your planting activities when completing this survey.

  • Yes
  • No

Area planted

4. What is the total area of potatoes planted in the 2022 crop year?

Please report for the entire operation. Report the area of potatoes planted on land owned or rented by all partners in the operation.

Please report all planting intentions, if you have not completed your planting activities when completing this survey.

Total area:

Unit of measure:

  • Acres
  • Hectares

Agricultural production

5. Which of the following agricultural products are currently being produced on this operation?

Select all that apply.

  • Field crops
  • Hay
  • Summerfallow
  • Potatoes
  • Fruit, berries and nuts
  • Vegetables
  • Sod
  • Nursery products
  • Greenhouse products
  • Cattle and calves
    Include beef or dairy.
  • Pigs
  • Sheep and lambs
  • Mink
  • Fox
  • Hens and chickens
  • Turkeys
  • Maple taps
  • Honey bees
  • Mushrooms
  • Other
    Specify agricultural products:
  • Not producing agricultural products

Area in crops

6. What area of this operation is used for the following crops?

Report the areas only once, even if used for more than one crop type.

Exclude land used by others.

CAPTION
  Area Unit of measure
a. Field crops    
b. Hay    
c. Summerfallow    
d. Potatoes    
e. Fruit, berries and nuts    
f. Vegetables    
g. Sod    
h. Nursery products    
Unit of measure
  • acres
  • hectares
  • arpents

Greenhouse area

7. What is the total area under glass, plastic or other protection used for growing plants?

Total area:

Unit of measure:

  • square feet
  • square metres

Livestock (excluding birds)

8. How many of the following animals are on this operation?

Report all animals on this operation, regardless of ownership, including those that are boarded, custom-fed or fed under contract.

Include all animals kept by this operation, regardless of ownership, that are pastured on a community pasture, grazing co-op or public land.

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

CAPTION
  Number
a. Cattle and calves  
b. Pigs  
c. Sheep and lambs  
d. Mink  
e. Fox  

Birds

9. How many of the following birds are on this operation?

Report all poultry on this operation, regardless of ownership, including those grown under contract.

Include poultry for sale and poultry for personal use.

Exclude poultry owned but kept on an operation operated by someone else.

CAPTION
  Number
a. Hens and chickens  
b. Turkeys  

Maple taps

10. What was the total number of taps made on maple trees last spring?

Total number of taps:

Honey bees

11. How many live colonies of honey bees (used for honey production or pollination) are owned by this operation?

Include bees owned, regardless of location.

Number of colonies:

Mushrooms

12. What is the total mushroom growing area (standing footage) on this operation?

Include mushrooms grown using beds, trays, tunnels or logs.

Total area:

Unit of measure:

  • square feet
  • square metres

Changes or events

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

Select all that apply.

  • Strike or lock-out
  • Exchange rate impact
  • Price changes in goods or services sold
  • Contracting out
  • Organizational change
  • Price changes in labour or raw materials
  • Natural disaster
  • Recession
  • Change in product line
  • Sold business or business units
  • Expansion
  • New or lost contract
  • Plant closures
  • Acquisition of business or business units
  • Other
    Specify the other changes or events:
  • No changes or events

Contact person

1. Statistics Canada may need to contact the person who completed this questionnaire for further information. Is [Provided Given Names], [Provided Family Name] the best person to contact?

  • Yes
  • No

Who is the best person to contact about this questionnaire?

  • First name:
  • Last name:
  • Title:
  • Email address:
  • Telephone number (including area code):
  • Extension number (if applicable):
    The maximum number of characters is 5.
  • Fax number (including area code):

Feedback

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

Include the time spent gathering the necessary information.

  • Hours:
  • Minutes:

2. Do you have any comments about this questionnaire?

2022 Biannual Livestock Survey

Why do we conduct this survey?

The purpose of this survey is to collect up-to-date information on the number of livestock on your agricultural operation. The data are used by agricultural industry analysts and producers to make production and marketing decisions, and by government analysts to monitor the livestock industry and develop agricultural policies in Canada.

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

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

Other important information

Authorization to collect this information

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

Confidentiality

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

Record linkages

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

Data-sharing agreements

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

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

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

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 Director, Enterprise Statistics Division
150 Tunney's Pasture Driveway
Ottawa, Ontario
K1A 0T6

You may also contact us by email at statcan.esdhelpdesk-dsebureaudedepannage.statcan@statcan.gc.ca or by fax at 613-951-6583.

For this survey, there are Section 12 agreements with the Prince Edward Island statistical agency, the Manitoba Agriculture and Resource Development as well as with the Ontario Ministry of Agriculture, Food and Rural Affairs.

For agreements with provincial and territorial government organizations, the shared data will be limited to information pertaining to business establishments located within the jurisdiction of the respective province or territory.

Business or organization and contact information

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

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

Legal Name

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

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

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

Operating Name

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

  • Legal name:
  • Operating name (if applicable):

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

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

  • First name:
  • Last name:
  • Title:
  • Preferred language of communication:
    • English
    • French
  • Mailing address (number and street):
  • City:
  • Province, territory or state:
  • Postal code or ZIP code:
  • Country:
    • Canada
    • United States
  • Email address:
  • Telephone number (including area code):
  • Extension number (if applicable):
    The maximum number of characters is 10.
  • Fax number (including area code):

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

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

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

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

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

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

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

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

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

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

Description and examples

  • This is the current main activity
  • This is not the current main activity
    Provide a brief but precise description of this business or organization's main activity:
    e.g., breakfast cereal manufacturing, shoe store, software development

Main activity

5. You indicated that is not the current main activity. Was this business or organization's main activity ever classified as: ?

  • Yes
    When did the main activity change?
    Date:
  • No

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

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

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

7. You have indicated that the current main activity of this business or organization is: Main activity. Are there any other activities that contribute significantly (at least 10%) to this business or organization's revenue?

  • Yes, there are other activities
    Provide a brief but precise description of this business or organization's secondary activity:
    e.g., breakfast cereal manufacturing, shoe store, software development
  • No, that is the only significant activity

8. Approximately what percentage of this business or organization's revenue is generated by each of the following activities?

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

CAPTION
  Percentage of revenue
Main activity  
Secondary activity  
All other activities  
Total percentage  

Cattle and calves

1. On YYYY-MM-DD do you expect to have any cattle or calves on this operation?

Report all cattle and calves regardless of ownership.

Include:

  • those that are boarded, custom-fed or fed under contract
  • those that are pastured on a community pasture, grazing co-op or Crown land.

Exclude all cattle and calves kept on a farm, ranch, or feedlot operated by someone else.

Inclusions and exclusions

When answering the livestock questions, please include:

  • all livestock on your operation as of YYYY-MM-DD, regardless of ownership, including livestock pastured, custom fed or fed under contract for others
  • all livestock owned by the operator and held on Crown land, community pastures and grazing projects.

Exclude livestock which are owned by you but kept on a farm, ranch, or feedlot operated by someone else.

Community pastures, grazing associations, Crown land: a community pasture or grazing reserve can be a federal, provincial or municipal land operated by a manager and rented to livestock producers for pasturing animals at a fixed fee per head. A co-operative grazing association is a group of people who usually incorporate and rent or lease land for a common grazing area.

Note: forest reserves fall under the category of grazing reserve. Crown land is land owned by the government (municipal, provincial or federal) and generally managed by the government. Crown land does not necessarily have to be used for the purpose of grazing livestock, although grazing does take place on Crown land, particularly in British Columbia.

Fed under contract / custom feeding: livestock are fed under a pre-arranged agreement with a company (for example, feed mill) or another producer to feed the cattle or hogs to market weight. Usually the "feed" operator owns the buildings and supplies the labour but does not own the livestock.

Feedlot (cattle): feedlots are operations where livestock are fattened for market. A feedlot operation may own the animals, or may feed them for other operators for a fee, or both.

Note: feedlots are more applicable to cattle.

Feeding and finishing operations (pigs): feeding and finishing operations are applicable to pigs. Hog feeding and finishing operations are operations in which hogs are fed to market weight. Usually there are no breeding sows or boars in these operations other than those culled from a breeding herd, being fattened for slaughter.

Slaughtered for own consumption: if there are any livestock (cattle, hogs, or sheep) which will be slaughtered for personal consumption, include that livestock in inventory counts. For example, if a dairy operator has one pig which will be slaughtered for personal consumption, include this pig in inventory counts.

  • Yes
  • No

Cattle and calves - Inventory

2. How many of the following do you expect to have on this operation on YYYY-MM-DD?

Include all cattle and calves on this operation, regardless of ownership.

Exclude all cattle and calves kept on a farm, ranch, or feedlot operated by someone else.

Cattle and calves

Bulls: male cattle which have not been castrated, 1 year and over, which are or will be kept for breeding purposes or for slaugther.

Calves: cattle of either sex, under 1 year old.

Calving: a term used when referring to cattle, meaning to give birth.

Cow: female cattle which have calved at least once, being used for the production of dairy or for the reproduction of beef calves. Include "first calf heifers".

Heifers: female cattle over 1 year old which have never calved, used (or to be used) for breeding or fed for slaughter.

Steers: castrated male cattle, 1 year and over, being fed for slaughter.

CAPTION
  Number
a. Bulls, one year and over  
b. Dairy cows  
c. Beef cows  
d. Calves, under one year  
e. Heifers, one year and over for dairy replacement heifers  
f. Heifers, one year and over for beef replacement heifers  
g. Heifers, one year and over for slaughter or feeder heifers  
h. Steers, one year and over  
Total inventory of cattle and calves  

Cattle and calves - Production

3. How many calves were born alive on this operation in the last six months, between YYYY-MM-DD and YYYY-MM-DD?

Cattle and calves

Bulls: male cattle which have not been castrated, 1 year and over, which are or will be kept for breeding purposes or for slaugther.

Calves: cattle of either sex, under 1 year old.

Calving: a term used when referring to cattle, meaning to give birth.

Cow: female cattle which have calved at least once, being used for the production of dairy or for the reproduction of beef calves. Include "first calf heifers".

Heifers: female cattle over 1 year old which have never calved, used (or to be used) for breeding or fed for slaughter.

Steers: castrated male cattle, 1 year and over, being fed for slaughter.

Number of calves:

4. How many cows and heifers do you expect to calve on this operation in the next six months, between YYYY-MM-DD and YYYY-MM-DD?

Cattle and calves

Bulls: male cattle which have not been castrated, 1 year and over, which are or will be kept for breeding purposes or for slaugther.

Calves: cattle of either sex, under 1 year old.

Calving: a term used when referring to cattle, meaning to give birth.

Cow: female cattle which have calved at least once, being used for the production of dairy or for the reproduction of beef calves. Include "first calf heifers".

Heifers: female cattle over 1 year old which have never calved, used (or to be used) for breeding or fed for slaughter.

Steers: castrated male cattle, 1 year and over, being fed for slaughter.

Number of cows and heifers:

Pigs

5. On YYYY-MM-DD do you expect to have any pigs on this operation?

Report all pigs regardless of ownership.

Include:

  • those that are boarded, custom-fed or fed under contract
  • those that are pastured on a community pasture, grazing co-op or Crown land.

Exclude all pigs kept on a farm, ranch, or feedlot operated by someone else.

Inclusions and exclusions

When answering the livestock questions, please include:

  • all livestock on your operation as of YYYY-MM-DD, regardless of ownership, including livestock pastured, custom fed or fed under contract for others
  • all livestock owned by the operator and held on Crown land, community pastures and grazing projects.

Exclude livestock which are owned by you but kept on a farm, ranch, or feedlot operated by someone else.

Community pastures, grazing associations, Crown land: a community pasture or grazing reserve can be a federal, provincial or municipal land operated by a manager and rented to livestock producers for pasturing animals at a fixed fee per head. A co-operative grazing association is a group of people who usually incorporate and rent or lease land for a common grazing area.

Note: forest reserves fall under the category of grazing reserve. Crown land is land owned by the government (municipal, provincial or federal) and generally managed by the government. Crown land does not necessarily have to be used for the purpose of grazing livestock, although grazing does take place on Crown land, particularly in British Columbia.

Fed under contract / custom feeding: livestock are fed under a pre-arranged agreement with a company (for example, feed mill) or another producer to feed the cattle or hogs to market weight. Usually the "feed" operator owns the buildings and supplies the labour but does not own the livestock.

Feedlot (cattle): feedlots are operations where livestock are fattened for market. A feedlot operation may own the animals, or may feed them for other operators for a fee, or both.

Note: feedlots are more applicable to cattle.

Feeding and finishing operations (pigs): feeding and finishing operations are applicable to pigs. Hog feeding and finishing operations are operations in which hogs are fed to market weight. Usually there are no breeding sows or boars in these operations other than those culled from a breeding herd, being fattened for slaughter.

Slaughtered for own consumption: if there are any livestock (cattle, hogs, or sheep) which will be slaughtered for personal consumption, include that livestock in inventory counts. For example, if a dairy operator has one pig which will be slaughtered for personal consumption, include this pig in inventory counts.

  • Yes
  • No
    Were there any pigs on this operation during the last six months, between YYYY-MM-DD and YYYY-MM-DD?
  • Yes
  • No

Pigs - Inventory

6. How many of the following do you expect to have on this operation on YYYY-MM-DD?

Include all pigs on this operation, regardless of ownership.

Exclude all pigs kept on a farm, ranch, or feedlot operated by someone else.

Pigs

Boars: non-castrated male pigs, 6 months and older, used or to be used (or sold) for breeding purposes.

Bred gilts: female pigs which have never farrowed but which have been bred; they are intended for breeding purposes.

Farrowing: term used when referring to pigs, meaning "to give birth".

Feeders: market pigs that are 50 to 119 pounds (23 to 53 kilograms) or 120 to 179 pounds (54 to 81 kilograms).

Note: sometimes referred to as grower pigs.

Finishers: market pigs over 179 pounds (81 kilograms) which are being fed for slaughter.

Gilts: female pigs which have never farrowed and are intended for breeding. Gilts intended for breeding may or may not be bred.

Note: gilts are younger than bred gilts.

Hog: a general term used to describe any type of pig.

Market pigs: consists of "feeders (growers)" and "finishers" which are over 50 pounds (23 kilograms). The general term 'market pigs' is to differentiate from pigs for breeding.

Piglet: a general term used to describe a new born pig.

Slaughter hogs: pigs which are approximately 220 to 240 pounds (100 to 110 kilograms) and are ready to be sold or slaughtered.

Sows: female pigs which have farrowed at least once.

Stillborn: born dead.

Suckling pigs: young pigs under 15 pounds (7 kilograms), which have not been weaned.

Weaners, Weanling, Nursery or Starter: pigs of either sex, 15 to 49 pounds (7 to 22 kilograms), which have recently been weaned.

Weaning: switching a young animal from mother's milk to another source of food.

CAPTION
  Number
Breeding stock, six months and over  
a. Sows and gilts kept for breeding  
b. Boars kept for breeding  
All other pigs  
c. Suckling pigs, less than 15 lb (7 kg)  
d. Weanling, nursery, or starter pigs, 15 to 49 lb (7 to 22 kg)  
e. Market pigs, 50 lb and over (23 kg and over)  
Total inventory of pigs  

Pigs - Inventory

7. How many of the [number] market pigs are in each of the following categories?

Pigs

Boars: non-castrated male pigs, 6 months and older, used or to be used (or sold) for breeding purposes.

Bred gilts: female pigs which have never farrowed but which have been bred; they are intended for breeding purposes.

Farrowing: term used when referring to pigs, meaning "to give birth".

Feeders: market pigs that are 50 to 119 pounds (23 to 53 kilograms) or 120 to 179 pounds (54 to 81 kilograms).

Note: sometimes referred to as grower pigs.

Finishers: market pigs over 179 pounds (81 kilograms) which are being fed for slaughter.

Gilts: female pigs which have never farrowed and are intended for breeding. Gilts intended for breeding may or may not be bred.

Note: gilts are younger than bred gilts.

Hog: a general term used to describe any type of pig.

Market pigs: consists of "feeders (growers)" and "finishers" which are over 50 pounds (23 kilograms). The general term 'market pigs' is to differentiate from pigs for breeding.

Piglet: a general term used to describe a new born pig.

Slaughter hogs: pigs which are approximately 220 to 240 pounds (100 to 110 kilograms) and are ready to be sold or slaughtered.

Sows: female pigs which have farrowed at least once.

Stillborn: born dead.

Suckling pigs: young pigs under 15 pounds (7 kilograms), which have not been weaned.

Weaners, Weanling, Nursery or Starter: pigs of either sex, 15 to 49 pounds (7 to 22 kilograms), which have recently been weaned.

Weaning: switching a young animal from mother's milk to another source of food.

CAPTION
  Number
a. Over 179 lb (81 kg)  
b. Between 120 to 179 lb (54 to 81 kg)  
c. Between 50 and 120 lb (23 to 54 kg)
Exclude weanling, nursery, or starter pigs.
 
Total market pigs  

Pigs - Farrowings

8. Please provide the total number of farrowings, the average number of piglets per litter and the total piglets born in the last six months between YYYY-MM-DD and YYYY-MM-DD.

Include pigs born alive and stillborn.

Total number of farrowings: this question is asking to report the total number of farrowings in the last 6 months. If a sow farrowed two times in the last 6 months this would be reported as two farrowings.

Average number of piglets born per litter: this question is asking to report the average number of piglets born per litter during the last 6 months. Some respondents interpret this to mean how many total piglets were born during the last six months. The data we are looking for is the average number of piglets born per sow. For example: If a respondent has 100 sows and each sow has 10 piglets born per litter. The correct response would be on average 10 piglets born per litter. Include piglets born alive and stillborn.

Total piglets born: this question is asking to report the total number of piglets born in the last 6 months. This question is autofilled if the total number of farrowings and the average number of piglets born per litter are reported. Total number of farrowings in the last 6 months multiplied by average number of piglets born per litter equals the total piglets born in the last 6 months. If the respondent is not able to report the total number of farrowings or average number of piglets born, the respondent should manually enter the total number of piglets born in the last 6 months. Include piglets born alive and stillborn.

CAPTION
  Number
a. Total number of farrowings in last six months  
b. Average number of piglets born per litter  
c. Total piglets born in last six months
Total number of farrowings X average number of piglets per litter.
 

9. Compared with the last six months, do you expect the number of farrowings to increase, decrease, or stay the same in the next six months, between YYYY-MM-DD and YYYY-MM-DD?

Pigs

Boars: non-castrated male pigs, 6 months and older, used or to be used (or sold) for breeding purposes.

Bred gilts: female pigs which have never farrowed but which have been bred; they are intended for breeding purposes.

Farrowing: term used when referring to pigs, meaning "to give birth".

Feeders: market pigs that are 50 to 119 pounds (23 to 53 kilograms) or 120 to 179 pounds (54 to 81 kilograms).

Note: sometimes referred to as grower pigs.

Finishers: market pigs over 179 pounds (81 kilograms) which are being fed for slaughter.

Gilts: female pigs which have never farrowed and are intended for breeding. Gilts intended for breeding may or may not be bred.

Note: gilts are younger than bred gilts.

Hog: a general term used to describe any type of pig.

Market pigs: consists of "feeders (growers)" and "finishers" which are over 50 pounds (23 kilograms). The general term 'market pigs' is to differentiate from pigs for breeding.

Piglet: a general term used to describe a new born pig.

Slaughter hogs: pigs which are approximately 220 to 240 pounds (100 to 110 kilograms) and are ready to be sold or slaughtered.

Sows: female pigs which have farrowed at least once.

Stillborn: born dead.

Suckling pigs: young pigs under 15 pounds (7 kilograms), which have not been weaned.

Weaners, Weanling, Nursery or Starter: pigs of either sex, 15 to 49 pounds (7 to 22 kilograms), which have recently been weaned.

Weaning: switching a young animal from mother's milk to another source of food.

  • Increase
    What is the expected percentage increase?
  • Decrease
    What is the expected percentage decrease?
  • Stay the same

10. Of the [number] piglets born during the last six months, between YYYY-MM-DD and YYYY-MM-DD, what percentage were stillborn, died or were destroyed before weaning?

Pigs

Boars: non-castrated male pigs, 6 months and older, used or to be used (or sold) for breeding purposes.

Bred gilts: female pigs which have never farrowed but which have been bred; they are intended for breeding purposes.

Farrowing: term used when referring to pigs, meaning "to give birth".

Feeders: market pigs that are 50 to 119 pounds (23 to 53 kilograms) or 120 to 179 pounds (54 to 81 kilograms).

Note: sometimes referred to as grower pigs.

Finishers: market pigs over 179 pounds (81 kilograms) which are being fed for slaughter.

Gilts: female pigs which have never farrowed and are intended for breeding. Gilts intended for breeding may or may not be bred.

Note: gilts are younger than bred gilts.

Hog: a general term used to describe any type of pig.

Market pigs: consists of "feeders (growers)" and "finishers" which are over 50 pounds (23 kilograms). The general term 'market pigs' is to differentiate from pigs for breeding.

Piglet: a general term used to describe a new born pig.

Slaughter hogs: pigs which are approximately 220 to 240 pounds (100 to 110 kilograms) and are ready to be sold or slaughtered.

Sows: female pigs which have farrowed at least once.

Stillborn: born dead.

Suckling pigs: young pigs under 15 pounds (7 kilograms), which have not been weaned.

Weaners, Weanling, Nursery or Starter: pigs of either sex, 15 to 49 pounds (7 to 22 kilograms), which have recently been weaned.

Weaning: switching a young animal from mother's milk to another source of food.

Percentage:

Pigs - Shipments for slaughter

11. How many pigs will this operation have shipped to a slaughter facility in the last six months, between YYYY-MM-DD and YYYY-MM-DD?

Enter "0" if none.

Pigs

Boars: non-castrated male pigs, 6 months and older, used or to be used (or sold) for breeding purposes.

Bred gilts: female pigs which have never farrowed but which have been bred; they are intended for breeding purposes.

Farrowing: term used when referring to pigs, meaning "to give birth".

Feeders: market pigs that are 50 to 119 pounds (23 to 53 kilograms) or 120 to 179 pounds (54 to 81 kilograms).

Note: sometimes referred to as grower pigs.

Finishers: market pigs over 179 pounds (81 kilograms) which are being fed for slaughter.

Gilts: female pigs which have never farrowed and are intended for breeding. Gilts intended for breeding may or may not be bred.

Note: gilts are younger than bred gilts.

Hog: a general term used to describe any type of pig.

Market pigs: consists of "feeders (growers)" and "finishers" which are over 50 pounds (23 kilograms). The general term 'market pigs' is to differentiate from pigs for breeding.

Piglet: a general term used to describe a new born pig.

Slaughter hogs: pigs which are approximately 220 to 240 pounds (100 to 110 kilograms) and are ready to be sold or slaughtered.

Sows: female pigs which have farrowed at least once.

Stillborn: born dead.

Suckling pigs: young pigs under 15 pounds (7 kilograms), which have not been weaned.

Weaners, Weanling, Nursery or Starter: pigs of either sex, 15 to 49 pounds (7 to 22 kilograms), which have recently been weaned.

Weaning: switching a young animal from mother's milk to another source of food.

Number of pigs:

12. Of the [number] pigs shipped to slaughter, what percentage were shipped to a facility in:

Pigs

Boars: non-castrated male pigs, 6 months and older, used or to be used (or sold) for breeding purposes.

Bred gilts: female pigs which have never farrowed but which have been bred; they are intended for breeding purposes.

Farrowing: term used when referring to pigs, meaning "to give birth".

Feeders: market pigs that are 50 to 119 pounds (23 to 53 kilograms) or 120 to 179 pounds (54 to 81 kilograms).

Note: sometimes referred to as grower pigs.

Finishers: market pigs over 179 pounds (81 kilograms) which are being fed for slaughter.

Gilts: female pigs which have never farrowed and are intended for breeding. Gilts intended for breeding may or may not be bred.

Note: gilts are younger than bred gilts.

Hog: a general term used to describe any type of pig.

Market pigs: consists of "feeders (growers)" and "finishers" which are over 50 pounds (23 kilograms). The general term 'market pigs' is to differentiate from pigs for breeding.

Piglet: a general term used to describe a new born pig.

Slaughter hogs: pigs which are approximately 220 to 240 pounds (100 to 110 kilograms) and are ready to be sold or slaughtered.

Sows: female pigs which have farrowed at least once.

Stillborn: born dead.

Suckling pigs: young pigs under 15 pounds (7 kilograms), which have not been weaned.

Weaners, Weanling, Nursery or Starter: pigs of either sex, 15 to 49 pounds (7 to 22 kilograms), which have recently been weaned.

Weaning: switching a young animal from mother's milk to another source of food.

CAPTION
  Percentage
a. the same province  
b. another province  
c. the United States  
Total pigs shipped to slaughter  

Pigs - Shipments for feeding purposes

13. How many weanling, nursery, or starter pigs, 15 to 49 lb (7 to 22 kg) will this operation have shipped in the last six months, between YYYY-MM-DD and YYYY-MM-DD, to another operation for feeding purposes?

Enter "0" if none.

Pigs

Boars: non-castrated male pigs, 6 months and older, used or to be used (or sold) for breeding purposes.

Bred gilts: female pigs which have never farrowed but which have been bred; they are intended for breeding purposes.

Farrowing: term used when referring to pigs, meaning "to give birth".

Feeders: market pigs that are 50 to 119 pounds (23 to 53 kilograms) or 120 to 179 pounds (54 to 81 kilograms).

Note: sometimes referred to as grower pigs.

Finishers: market pigs over 179 pounds (81 kilograms) which are being fed for slaughter.

Gilts: female pigs which have never farrowed and are intended for breeding. Gilts intended for breeding may or may not be bred.

Note: gilts are younger than bred gilts.

Hog: a general term used to describe any type of pig.

Market pigs: consists of "feeders (growers)" and "finishers" which are over 50 pounds (23 kilograms). The general term 'market pigs' is to differentiate from pigs for breeding.

Piglet: a general term used to describe a new born pig.

Slaughter hogs: pigs which are approximately 220 to 240 pounds (100 to 110 kilograms) and are ready to be sold or slaughtered.

Sows: female pigs which have farrowed at least once.

Stillborn: born dead.

Suckling pigs: young pigs under 15 pounds (7 kilograms), which have not been weaned.

Weaners, Weanling, Nursery or Starter: pigs of either sex, 15 to 49 pounds (7 to 22 kilograms), which have recently been weaned.

Weaning: switching a young animal from mother's milk to another source of food.

Number of weanling, nursery, and starter pigs:

14. Of the [number] weanling, nursery or starter pigs shipped for feeding purposes, what percentage were shipped to another operation in: 

Pigs

Boars: non-castrated male pigs, 6 months and older, used or to be used (or sold) for breeding purposes.

Bred gilts: female pigs which have never farrowed but which have been bred; they are intended for breeding purposes.

Farrowing: term used when referring to pigs, meaning "to give birth".

Feeders: market pigs that are 50 to 119 pounds (23 to 53 kilograms) or 120 to 179 pounds (54 to 81 kilograms).

Note: sometimes referred to as grower pigs.

Finishers: market pigs over 179 pounds (81 kilograms) which are being fed for slaughter.

Gilts: female pigs which have never farrowed and are intended for breeding. Gilts intended for breeding may or may not be bred.

Note: gilts are younger than bred gilts.

Hog: a general term used to describe any type of pig.

Market pigs: consists of "feeders (growers)" and "finishers" which are over 50 pounds (23 kilograms). The general term 'market pigs' is to differentiate from pigs for breeding.

Piglet: a general term used to describe a new born pig.

Slaughter hogs: pigs which are approximately 220 to 240 pounds (100 to 110 kilograms) and are ready to be sold or slaughtered.

Sows: female pigs which have farrowed at least once.

Stillborn: born dead.

Suckling pigs: young pigs under 15 pounds (7 kilograms), which have not been weaned.

Weaners, Weanling, Nursery or Starter: pigs of either sex, 15 to 49 pounds (7 to 22 kilograms), which have recently been weaned.

Weaning: switching a young animal from mother's milk to another source of food.

CAPTION
  Percentage
a. the same province  
b. another province  
c. the United States  
Total weanling, nursery or starter pigs shipped for feeding  

Sheep and lambs

15. On YYYY-MM-DD do you expect to have any sheep or lambs on this operation?

Report all sheep or lambs regardless of ownership.

Include:

  • those that are boarded, custom-fed or fed under contract
  • those that are pastured on a community pasture, grazing co-op or Crown land.

Exclude all sheep and lambs kept on a farm, ranch, or feedlot operated by someone else.

Inclusions and exclusions

When answering the livestock questions, please include:

  • all livestock on your operation as of YYYY-MM-DD, regardless of ownership, including livestock pastured, custom fed or fed under contract for others
  • all livestock owned by the operator and held on Crown land, community pastures and grazing projects.

Exclude livestock which are owned by you but kept on a farm, ranch, or feedlot operated by someone else.

Community pastures, grazing associations, Crown land: a community pasture or grazing reserve can be a federal, provincial or municipal land operated by a manager and rented to livestock producers for pasturing animals at a fixed fee per head. A co-operative grazing association is a group of people who usually incorporate and rent or lease land for a common grazing area.

Note: forest reserves fall under the category of grazing reserve. Crown land is land owned by the government (municipal, provincial or federal) and generally managed by the government. Crown land does not necessarily have to be used for the purpose of grazing livestock, although grazing does take place on Crown land, particularly in British Columbia.

Fed under contract / custom feeding: livestock are fed under a pre-arranged agreement with a company (for example, feed mill) or another producer to feed the cattle or hogs to market weight. Usually the "feed" operator owns the buildings and supplies the labour but does not own the livestock.

Feedlot (cattle): feedlots are operations where livestock are fattened for market. A feedlot operation may own the animals, or may feed them for other operators for a fee, or both.

Note: feedlots are more applicable to cattle.

Feeding and finishing operations (pigs): feeding and finishing operations are applicable to pigs. Hog feeding and finishing operations are operations in which hogs are fed to market weight. Usually there are no breeding sows or boars in these operations other than those culled from a breeding herd, being fattened for slaughter.

Slaughtered for own consumption: if there are any livestock (cattle, hogs, or sheep) which will be slaughtered for personal consumption, include that livestock in inventory counts. For example, if a dairy operator has one pig which will be slaughtered for personal consumption, include this pig in inventory counts.

  • Yes
  • No
    Were there any sheep or lambs kept on this operation in the last six months, between YYYY-MM-DD and YYYY-MM-DD?
  • Yes
  • No

Sheep and lambs - Inventory

16. How many of the following do you expect to have on this operation on YYYY-MM-DD?

Include all sheep or lambs on this operation, regardless of ownership.

Exclude all sheep and lambs kept on a farm, ranch, or feedlot operated by someone else.

Sheep and lambs

Rams: non-castrated male sheep kept for breeding.

Ewes: female sheep kept for breeding.

Replacement lambs: replacement lambs are lambs that are being kept for breeding purposes. Include lambs born on the operation and lambs purchased from other sources. Also include lambs born and still located on the operation that will eventually be sold to other farms for breeding purposes.

Market lambs: market lambs are male or female lambs that are raised with the intent for slaughter.

CAPTION
  Number
a. Rams, one year and over  
b. Ewes  
c. Replacement lambs  
d. Market lambs  
e. Total inventory of sheep and lambs  

Sheep and lambs - Production

17. How many lambs were born on this operation in the last six months, between YYYY-MM-DD and YYYY-MM-DD?

Include lambs born alive and stillborn.

Sheep and lambs

Rams: non-castrated male sheep kept for breeding.

Ewes: female sheep kept for breeding.

Replacement lambs: replacement lambs are lambs that are being kept for breeding purposes. Include lambs born on the operation and lambs purchased from other sources. Also include lambs born and still located on the operation that will eventually be sold to other farms for breeding purposes.

Market lambs: market lambs are male or female lambs that are raised with the intent for slaughter.

Number of lambs:

18. How many sheep and lambs died on this operation, including those killed by disease or predators, in the last six months, between YYYY-MM-DD and YYYY-MM-DD?

Exclude those slaughtered for meat.

Sheep and lambs

Rams: non-castrated male sheep kept for breeding.

Ewes: female sheep kept for breeding.

Replacement lambs: replacement lambs are lambs that are being kept for breeding purposes. Include lambs born on the operation and lambs purchased from other sources. Also include lambs born and still located on the operation that will eventually be sold to other farms for breeding purposes.

Market lambs: market lambs are male or female lambs that are raised with the intent for slaughter.

Number of sheep and lambs:

19. How many lambs do you expect to be born on this operation in the next six months, between YYYY-MM-DD and YYYY-MM-DD?

Sheep and lambs

Rams: non-castrated male sheep kept for breeding.

Ewes: female sheep kept for breeding.

Replacement lambs: replacement lambs are lambs that are being kept for breeding purposes. Include lambs born on the operation and lambs purchased from other sources. Also include lambs born and still located on the operation that will eventually be sold to other farms for breeding purposes.

Market lambs: market lambs are male or female lambs that are raised with the intent for slaughter.

Number of lambs:

Agricultural production

20. Which of the following agricultural products are currently being produced on this operation?

Select all that apply.

  • Field crops
  • Hay
  • Summerfallow
  • Potatoes
  • Fruit, berries and nuts
  • Vegetables
  • Sod
  • Nursery products
  • Greenhouse products
  • Cattle and calves
    Include beef or dairy.
  • Pigs
  • Sheep and lambs
  • Mink
  • Fox
  • Hens and chickens
  • Turkeys
  • Maple taps
  • Honey bees
  • Mushrooms
  • Other
    Specify agricultural products:
  • Not producing agricultural products

Area in crops

21. What area of this operation is used for the following crops?

Report the areas only once, even if used for more than one crop type.

Exclude land used by others.

CAPTION
  Area Unit of measure
a. Field crops    
b. Hay    
c. Summerfallow    
d. Potatoes    
e. Fruit, berries and nuts    
f. Vegetables    
g. Sod    
h. Nursery products    
Unit of measure
  • acres
  • hectares
  • arpents

Greenhouse area

22. What is the total area under glass, plastic or other protection used for growing plants?

Total area:

Unit of measure:

  • square feet
  • square metres

Livestock (excluding birds)

23. How many of the following animals are on this operation?

Report all animals on this operation, regardless of ownership, including those that are boarded, custom-fed or fed under contract.

Include all animals kept by this operation, regardless of ownership, that are pastured on a community pasture, grazing co-op or public land.

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

CAPTION
  Number
a. Cattle and calves  
b. Pigs  
c. Sheep and lambs  
d. Mink  
e. Fox  

Birds

24. How many of the following birds are on this operation?

Report all poultry on this operation, regardless of ownership, including those grown under contract.

Include poultry for sale and poultry for personal use.

Exclude poultry owned but kept on an operation operated by someone else.

CAPTION
  Number
a. Hens and chickens  
b. Turkeys  

Maple taps

25. What was the total number of taps made on maple trees last spring?

Total number of taps:

Honey bees

26. How many live colonies of honey bees (used for honey production or pollination) are owned by this operation?

Include bees owned, regardless of location.

Number of colonies:

Mushrooms

27. What is the total mushroom growing area (standing footage) on this operation?

Include mushrooms grown using beds, trays, tunnels or logs.

Total area:

Unit of measure:

  • square feet
  • square metres

Changes or events

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

Select all that apply.

  • Strike or lock-out
  • Exchange rate impact
  • Price changes in goods or services sold
  • Contracting out
  • Organizational change
  • Price changes in labour or raw materials
  • Natural disaster
  • Recession
  • Change in product line
  • Sold business or business units
  • Expansion
  • New or lost contract
  • Plant closures
  • Acquisition of business or business units
  • Other
    Specify the other changes or events:
  • No changes or events

Contact person

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

Is [Provided Given Names], [Provided Family Name] the best person to contact?

  • Yes
  • No

Who is the best person to contact about this questionnaire?

  • First name:
  • Last name:
  • Title:
  • Email address:
  • Telephone number (including area code):
  • Extension number (if applicable):
    The maximum number of characters is 5.
  • Fax number (including area code):

Feedback

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

Include the time spent gathering the necessary information.

  • Hours:
  • Minutes:

2. Do you have any comments about this questionnaire?

Federal government expenditures on COVID-19 response measures - first quarter 2022

On March 11, 2020, the World Health Organization declared the COVID-19 pandemic. To address the consequences of the pandemic on the Canadian economy, the federal government of Canada announced and implemented various support and recovery measures for businesses, households, students, the vulnerable population and organizations helping individuals. The table Federal government expenditures on COVID-19 response measures presents the major federal measures announced and implemented, their treatment in the national accounts (in particular, in the Income and Expenditure Accounts), the table numbers where the pertinent series may be found and the amount of expenditure on a quarterly basis.

For a comprehensive explanations on the treatment of COVID-19 government support measures in the national accounts, please refer to the documents Recording COVID-19 measures in the national account and Recording new COVID measures in the national accounts.

Treatment in national accounts: Subsidies on production, by quarter at quarterly rates
COVID-19 measure 2020 2021 2022
First quarter Second quarter Third quarter Fourth quarter First quarter Second quarter Third quarter Fourth quarter First quarter
$ millions
Canada Emergency Wage Subsidy (CEWS) - business 4,356 29,384 22,729 11,644 11,108 11,055 5,389 356 ..
Temporary Wage Subsidy (TWS) - business 169 738 .. .. .. .. .. .. ..
Canada Emergency Rent Subsidy (CERS) - business .. .. 54 1,746 1,907 1,805 897 68 ..
Lockdown Support (LS) - business .. .. 5 240 383 375 82 13 ..
Canada Recovery Hiring Program (CRHP) - business .. .. .. .. .. 55 406 312 46
Symbol legend:
.. not available for a specific reference period
Source(s): Statistics Canada, tables 36-10-0103, 36-10-0118 and 36-10-0477.
Treatment in national accounts: Current transfers to non-profit institutions serving households (NPISH), by quarter at quarterly rates
COVID-19 measure 2020 2021 2022
First quarter Second quarter Third quarter Fourth quarter First quarter Second quarter Third quarter Fourth quarter First quarter
$ millions
Canada Emergency Wage Subsidy (CEWS) - NPISH 200 1,095 1,050 618 621 659 380 25 ..
Temporary Wage Subsidy (TWS) - NPISH 13 46 .. .. .. .. .. .. ..
Canada Emergency Rent Subsidy (CERS) - NPISH .. .. 1 42 43 42 24 2 ..
Lockdown Support (LS) - NPISH .. .. 0 5 7 7 2 0 ..
Canada Recovery Hiring Program (CRHP) - NPISH .. .. .. .. .. 1 11 9 2
Symbol legend:
.. not available for a specific reference period
Source(s): Statistics Canada, tables 36-10-0118, 36-10-0477 and 36-10-0115.
Treatment in national accounts: Subsidies on products and imports, by quarter at quarterly rates
COVID-19 measure 2020 2021 2022
First quarter Second quarter Third quarter Fourth quarter First quarter Second quarter Third quarter Fourth quarter First quarter
$ millions
Canada Emergency Commercial Rent Assistance (CECRA) .. 1,130 904 .. .. .. .. .. ..
  • Federal contribution
.. 849 679 .. .. .. .. .. ..
  • Provincial contribution
.. 281 225 .. .. .. .. .. ..
Symbol legend:
.. not available for a specific reference period
Source(s): Statistics Canada, tables 36-10-0103, 36-10-0118 and 36-10-0477.
Treatment in national accounts: Current transfers to households - Employment Insurance benefits, by quarter at quarterly rates
COVID-19 measure 2020 2021 2022
First quarter Second quarter Third quarter Fourth quarter First quarter Second quarter Third quarter Fourth quarter First quarter
$ millions
Canada Emergency Response Benefit (CERB) - EI stream .. 19,127 9,239 864 -12 -2 -21 -11 ..
Symbol legend:
.. not available for a specific reference period
Note(s): A negative number indicates repayments.
Source(s): Statistics Canada, tables 36-10-0118, 36-10-0477 and 36-10-0112.
Treatment in national accounts: Transfers to households -Other federal transfers to households, by quarter at quarterly rates
COVID-19 measure 2020 2021 2022
First quarter Second quarter Third quarter Fourth quarter First quarter Second quarter Third quarter Fourth quarter First quarter
$ millions
Canada Emergency Response Benefit (CERB) - CRA stream .. 29,002 15,597 704 -1,514 .. 1 .. 1
Canada Emergency Student Benefit (CESB) .. 1,386 1,550 8 -64 .. .. .. ..
Canada Recovery Benefit (CRB) .. .. .. 6,073 8,344 6,516 5,091 2,372 34
Canada Recovery Caregiving Benefit (CRCB) .. .. .. 900 1,057 933 619 365 363
Canada Recovery Sickness Benefit (CRSB) .. .. .. 246 163 188 119 198 423
Canada Worker Lockdown Benefit (CWLB) .. .. .. .. .. .. .. .. 899
Symbol legend:
.. not available for a specific reference period
Note(s): A negative number indicates repayments. Some positive numbers may be net of repayments.
Source(s): Statistics Canada, tables 36-10-0118, 36-10-0477 and 36-10-0112.
Treatment in national accounts: Capital transfers to business, by quarter, at quarterly rates
COVID-19 measure 2020 2021 2022
First quarter Second quarter Third quarter Fourth quarter First quarter Second quarter Third quarter Fourth quarter First quarter
$ millions
Canada Emergency Business Account (CEBA):  forgiven part of the loans to private non-financial corporations .. .. .. .. 27 115 129 203 468
Symbol legend:
.. not available for a specific reference period
Source(s): Statistics Canada, tables 36-10-0118, 36-10-0477 and 36-10-0116.
Treatment in national accounts: Capital transfers to household, by quarter, at quarterly rates
COVID-19 measure 2020 2021 2022
First quarter Second quarter Third quarter Fourth quarter First quarter Second quarter Third quarter Fourth quarter First quarter
$ millions
Canada Emergency Business Account (CEBA):  forgiven part of the loans to  unincorporated businesses .. .. .. .. 2 8 10 18 35
Symbol legend:
.. not available for a specific reference period
Source(s): Statistics Canada, tables 36-10-0118, 36-10-0477 and 36-10-0112.
Treatment in national accounts: Outstanding federal government loan assets, by quarter, at quarterly rates
COVID-19 measure 2020 2021 2022
First quarter Second quarter Third quarter Fourth quarter First quarter Second quarter Third quarter Fourth quarter First quarter
$ millions
Canada Emergency Business Account (CEBA) .. 27,309 30,165 38,137 44,822 47,086 47,585 46,970 44,450
Of which: To private non-financial corporations .. 25,468 27,969 35,126 40,895 42,572 42,854 42,278 39,992
Of which: To unincorporated businesses (household) .. 1,841 2,196 3,011 3,927 4,514 4,731 4,692 4,458
Large Employer Emergency Financing Facility (LEEFF) .. .. 60 110 314 1,813 2,538 2,318 2,558
Symbol legend:
.. not available for a specific reference period
Source(s): Statistics Canada, table 36-10-0580.

Advisory Council on Ethics and Modernization of Microdata Access - Meeting minutes for April 21, 2022

Date and location

April 21, 2022, 8:30 a.m. to 12:30 p.m.
Virtual meeting via MS Teams

Members

  • Anil Arora, Chief Statistician of Canada (Chair)
  • Chantal Bernier, National Practice Leader, Privacy and Cybersecurity, Dentons Canada LLP
  • David Robichaud, Ethics Professor, University of Ottawa
  • Len Garis, Researcher and Adjunct Professor
  • Mary Dawson, Lawyer, former Conflict of Interest and Ethics Commissioner
  • Robert Gordon, Strategic Advisor, Canadian Cyber Threat Exchange

Regrets

  • Cal Marcoux, Chief Information Security Officer, Canadian Institute for Health Information

Statistics Canada guests/support

Jacques Fauteux, André Loranger, Greg Peterson, Lynn Barr-Telford, Mélanie Scott, Janice Keenan, Leila Boussaïd, Eric Rancourt, Tom Dufour, Larry MacNabb, Martin Beaulieu, Julie Trépanier, Patrick Mason, Geneviève Jourdain, Marc St-Denis, Farnaz Ahanin

Introductions and Opening Remarks

Anil Arora, Chief Statistician of Canada

Mr. Arora opened the meeting by welcoming members to the fifth meeting of the Advisory Council on Ethics and Modernization of Microdata Access (ACEMMA). He thanked them for their continuous advice and guidance throughout the years. He noted that their skills and expertise are of the utmost importance to Statistics Canada (StatCan), and essential as the agency continues to modernize in an ethical and responsible manner, while delivering better access to de-identified microdata for researchers and policy makers that benefits all Canadians. Additionally, Mr. Arora noted that the steps in the data life cycle known as the "Four Gs" (gathered, guarded, grown, give) helped to frame the plan of this meeting.

The retirement of Cal Marcoux and his decision to step down from the committee was noted. Members highlighted his valuable contribution to the success of the council.

Updates on the Virtual Data Lab project

Leila Boussaïd, Director General, Data Access and Dissemination Branch, Statistics Canada

Ms. Boussaïd shared updates on the Virtual Data Lab (vDL) project, highlighting that it has been in production as of October 2021. She shared positive testimonials received from users and the project's upcoming plans.

Council members expressed their support for the project and agreed that many reflections have been done to ensure a balance between user-centricity and maintaining the privacy of Canadians when developing initiatives such as the vDL.

Presentation by the Data Ethics Secretariat on the sensitivity scale (in the context of the necessity and proportionality framework)

Martin Beaulieu, Chief, International Cooperation and Methodology Innovation Centre, Statistics Canada;
André Loranger, Assistant Chief Statistician, Strategic Data Management, Methods and Analysis, Statistics Canada (moderator)

Mr. Beaulieu shared progress on behalf of the Data Ethics Secretariat regarding the sensitivity scale and the evolution of the Necessity and Proportionality Framework that was adopted in 2019. The objective is to optimize privacy protection and the production of information when designing a data-gathering approach. The framework was implemented via the creation of the Data Ethics Secretariat and the development of the six guiding principles, Necessity and Proportionality Framework 2.0, and the sensitivity scale. A summary of the six guiding principles was provided. Additionally, Mr. Beaulieu briefed members on the sensitivity scale, a tool currently in development to initiate and facilitate reviews. It was noted that the team is continuing to assess the scale on test projects to ensure it is well integrated into the data acquisition process at the agency

Next steps include communication efforts with partners to refine the process, participation in the international forum on data ethics, continuing training offered, and implementing and refining the sensitivity scale. International guest, Jan Robert Suesser, was invited to provide an external perspective to Mr. Beaulieu's presentation.

International guest speaker: Jan Robert Suesser

Jan Robert Suesser, member of the International Statistical Institute (ISI) Ethics Advisory Board
Jacques Fauteux, Assistant Chief Statistician, Strategic Engagement Field, Statistics Canada (moderator)

Mr. Suesser started with a historical background to official statistics. He continued the discussion by providing an external perspective to Mr. Beaulieu's presentation.

Mr. Suesser noted that there is a need to illustrate how the information from official statistics is produced to be useful. The ethical concern deals largely with the interaction between the work of the agency and individuals and society at large. In Canada, there is an overall acceptance of wanting to further understand and provide disaggregated data to inform public debates and policy making. In providing disaggregated data, it is important to measure and disseminate relevant data about inequalities while providing a rationale. The Necessity and Proportionality Framework which StatCan works within is most welcome in this regard, as it provides a rationale as to why the data are being produced. However, it is important to note that the framework does not prevent misuse of data, but rather is a tool used to provide support. The prejudice and stigmatization referred to in Mr. Beaulieu's presentation are significantly present in public debates with vulnerable populations. Agencies such as StatCan must ensure that they do not create a harmful profile that could propagate stereotypes in collecting the data.

Council members were pleased with presentations and the various elements when looking at the concepts of privacy, fairness, and do not harm. Regarding the sensitivity scale, members cautioned that some questions may sit on a spectrum of a scale rather than the yes/no questions that are currently used in the scale. Members requested that the agency reflect on how to best apply the six guiding principles and the sensitivity scale, and recommended including measures to avoid the collection of excessive data or assure proportional collection before passing to security measures.

Presentation: Secure Infrastructure for Data Integration approach and associated engagement strategy

Patrick Mason, Chief, Data Integration Infrastructure Division
Julie Trépanier, Director, Data Integration Infrastructure Division
Jacques Fauteux, Assistant Chief Statistician, Strategic Engagement Field, Statistics Canada (moderator)

Ms. Trépanier led the discussion with a presentation on Secure Infrastructure for Data Integration (SIDI), noting that StatCan has remained committed to providing detailed data required to address gender gaps, racism and other systematic barriers as part of the Disaggregated Data Action Plan (DDAP). As part of this work, the agency is considering a new SIDI. This set of methods, technologies and protocols will enhance the way StatCan combines its existing data with data from other organizations, while ensuring the confidentiality of records. The team will be carrying out consultative engagements in a five-phased approach to mobilize and gain social acceptance for this approach.

Council members noted that when speaking about mobilization, it is important to outline what is being done in regard to social acceptability and engagement. Building strong partnerships and providing information citizens need is critical. This can be done while showcasing potential for policy-relevant information to be put to good use. Members expressed interest in an increase in linked data and more frequent communication with the provinces. Council members supported the safeguards and framework proposed by the agency and would like an update on SIDI at the next meeting.

Action items

  • Provide update on SIDI progress at next ACEMMA meeting.

Media trends analysis

Janice Keenan, Director General, Communications Branch, Statistics Canada

Ms. Keenan started with an overview of the 2021 Census pilot of social trends reporting systems and described how these tools and framework support the agency's ongoing modernization of its communications. Using new web-based tools such as Meltwater and HootSuite has helped the agency analyze large volumes of social media conversations in real time. Case studies highlighted how this enabled the success of 2021 Census communications and how communications contributed to the highest online response rate for a census in Canada. As next steps, the agency intends to maintain its transparent communications approach and continue to engage key stakeholders, including the Office of the Privacy Commissioner (OPC).

Council members acknowledged the work done by the communications team to address the question of privacy and social media monitoring tools, and expressed support for how this tool is used to better engage Canadians in a dialogue with their statistical agency. There is a need to ensure everyone understands the potential that is present and what the agency is doing in the notion of a monitoring system, as well as the mechanisms set in place to minimize the risks. Checks and balances, and transparency and rationale will be key to public trust and acceptance. It was asked that the OPC recommendations from February 2021 be shared.

Action items

  • Share the following documentation with members post meeting:
    • Meltwater privacy impact assessment and related documents received from the OPC
    • Relevant text (bilingual) from the OPC 2020-21 annual report and URLs to StatCan's Social Media Terms of Use and Interacting with Us on Social Media pages

Roundtable and closing remarks

Anil Arora, Chief Statistician of Canada

Mr. Arora thanked members and invited them to share their final thoughts. Members were canvassed to pick a new chair for the committee.

Advisory council action items

  • Next meeting: November 2022 (tentatively)
  • Name alternate committee member as new chair of ACEMMA
  • Questions and remarks from council members for Statistics Canada to consider:
    • To what extent can we build knowledge that informs policy and decision making without being hostage to those who disseminate prejudice and public debate?
    • If an individual or organization begins to mis-portray the information, what is the role of StatCan as a statistical agency to address this?
    • o What are guardrails and limitations currently present when disseminating disaggregated data and statistical information in general?
Date modified:

A Use Case on Metadata Management

By: Ekramul Hoque, Statistics Canada

What is metadata?

Metadata are data that provide information about other data. In other words, it is "data about data." It's one of the core components of data governance as it imposes management disciplines on the collection and control of data. Data scientists spend a significant amount of time gathering and understanding data. We can generate faster insights when we have access to underlying metadata.

Why does an organization need a metadata management system?

When an organization has a metadata management system, it means their employees can add metadata into their repositories quickly and accurately without affecting the access to data within their systems. Doing this improves creative workflows and enhances business processes. For example, one of Statistic Canada's core activities is to do a statistical analysis of a wide range of data types and quantities. To do this effectively, analysts must be able to quickly locate the most useful data to determine its structure and semantics.

Some key benefits of metadata management include:

  • maximizing the use of relevant data and improving its quality,
  • a common platform by which diverse groups of data citizens can discuss and efficiently manage their work. For example, data engineers who works with technical metadata and data type standards can provide support for generating and consuming metadata
  • Creating faster project delivery timelines due to improved data integration across various platforms.

Naturally, successful data analysis relies on strong metadata management. A strong metadata management story can also mean improved data discovery capabilities. It summarizes the most basic information about the data, making it easier to find and track.

Metadata automation is a recent industry trend that is replacing the increasingly tedious process of manual data mapping when managing metadata. Some key benefits of automation include data quality assurance and faster project delivery timelines due to improved data integration across various platforms. Metadata management ensures regulatory compliance through data standardization. It also improves productivity and reduces costs. Metadata management enables knowledge of what data exists and its potential value, thus promoting digital transformation which allows organizations to know what data they have and its potential valueReference 1.

Data standardization

When data are provided by external partners, it's likely their system or application was created independently. Data standardization establishes a mutual understanding of the data's meaning and semantics, allowing its users to interpret and use the data correctly.Reference 2

As a part of the Data Standardization Governance Collaborative (DSGC), Statistics Canada has aligned with the Statistical Data and Metadata eXchangeReference 3 (SDMX), an international initiative that aims at standardizing and modernizing the mechanisms and processes for the exchange of data and metadata. SMDX has been published as an International Organization for Standardization and approved as an official standard within Statistics Canada.

SMDX is a framework that helps to standardize of both data and metadata. Though it's well-entrenched in the System of National Accounts at Statistics Canada, it's still in the initial phase of being introduced to other areas within the organization. This method of data interoperability should lead to:

  • a reduction of duplication;
  • better understanding of concepts;
  • help to identify data gaps;
  • facilitate easier reconciliation; and
  • allow in-depth analysis.

The SMDX Standard could be leveraged and aligned in an "agile-light-standard" format allowing the use of tools to rapidly produce infrastructure and interoperability layers, which would allow for sharing of information quickly.

Data cataloging

Another key component for metadata management is data cataloging. Data cataloging is commonly defined as the discovery of data assets from participating data holdings. Its primary objective is to use consistent methods to find the data and the information associated with it. Figure 1 illustrates how analysis processes change when analysts work with a data catalog.

Figure 1: Process with and without a Data Catalog. Graph from Alation - Data Intelligence + Human Brilliance

Figure 1: Process with and without a Data Catalog
Figure 1: Process with and without a Data Catalog.

There are two diagrams.

The diagram at the top shows how processes work without a data catalog. It shows a yellow circle with the words "Available documentation & corporate knowledge". From there, an arrow points down to a blue box with the words "Find the data" and from that box, an arrow points right to another blue box with the words "Get the data" and then an arrow points to a third blue box with the words "Evaluate the data". This blue box has an arrow pointing up to the words "Not a fit" where the reader is directed to restart at the yellow circle. However, there is another arrow from the "Evaluate the data" box, which points right. This arrow has the words "try it" above it. The arrow brings the reader to another blue box with the words "Understand the data". This box has an arrow pointing up to "Not a fit" again and another arrow pointing right to another blue box with the words "Prepare the data". This blue box also has two arrows – one pointing up to the words "Need more data" where the reader is directed back to the yellow circle to restart at step one, the other arrow points right to a blue box with the words "Analyze the data" and from there, another arrow right to a navy blue box to the words "Share the analysis". This diagram is meant to depict trial and error without a data catalogue.

The diagram at the bottom depicts how processes work with a data catalog. It shows a yellow square with the words "Data Catalog". From this box, there are two arrows pointing down. One to a blue box on the left "Find the data" and another blue box on the right, which says "Evaluate the data". Both boxes are also connected by an arrow, going from the left to the right. From the "Evaluate the data" box, an arrow points right to another blue box, which reads, "Get the data". This points to another blue box, which reads, "Understand the data", itself pointing to another blue box which reads, "Prepare the data". From this box, there is an arrow pointing up which means you need more data and must restart at the yellow box with the word "Data Catalog" or if you follow the arrow pointing right, you continue to another blue box with the words "Analyze the data". This blue box points to a final navy blue box with the words "Share the analysis". This diagram is meant to depict speed, efficiency and confidence in the process with a data catalogue.

Without a data catalog, analysts search for information by figuring out documentation based on its ancestral information, by collaborating with associates and working with other recognizable datasets. This cycle requires experimentation and the need to "squander and improve" data. The analyst is then required to look through familiar datasets.

With a data catalog the analyst can search available datasets, assess the data and make informed decisions on which information to use. They can then examine and plan their information effectively and with greater certaintyReference 4. CKAN (named derived from the acronym for Comprehensive Knowledge Archive Network) has been created to support this process.

What is CKAN?

CKAN - The world's leading open source data management system is an open-source data management system for national and regional data publishers, governments and organizations that want to publish, share and make their data open and available for use.

Why use CKAN?

  • It's open source and free, which means users retain all rights to the data and metadata they store within the software.
  • It's written in Python and JavaScript. The JavaScript code in CKAN is broken down into modules: small, independent units of JavaScript code. CKAN themes can add JavaScript features by providing their own modules. It keeps the code simple and easy to test, debug and maintain, by breaking it down into small, independent modules. Developers are allowed to write extension which is a Python package that modifies or extends CKAN. Each extension contains one or more plugins that must be added to user's CKAN config file to activate the extension's features
  • It provides user management and data management.
  • It provides a custom extension development.
  • It provides an Automation Programming Interface (API) endpoint to store, edit, extract and analyze data.

Metadata use case

At the end of 2019, Statistics Canada's Data Science and Operationalization team began working with the agency's Integrated Business Statistics Program (IBSP). The IBSP is the common data processing system for the majority of Statistics Canada's economic surveys.

The aim of the project is to address the limitations of the current analytical space. A new solution will help:

  • address the need for a self-serve analytical solution;
  • improve the ability to connect to analytical tools;
  • add searchability and discoverability of datasets;
  • avoid data duplication;
  • move away from one-size-fits-all security access; and
  • allow for horizontal analysis using data outside of IBSP.

IBSP and the Data Science Division partnered with the Fair Data Infrastructure (FDI) to determine whether a prototype could be created using open-source tools.

The FDI aims to provide a collaborative data and metadata ecosystem for all data suppliers and users. The core of this space is a data catalog, as well as data and metadata management tools.

Knowledge transfer from analysts to administrator before a Cloud is established

IBSP have analysts who want to access surveys. These surveys are managed and updated by an administrator from the IBSP team; however, the process of updating and creating access causes duplicate and redundant data. Also, the analysts struggle to search for these data and the corresponding metadata since they're available through shared directories.

Figure 2: Identified bottleneck for the IBSP Proof of Concept (PoC)

Figure 2: Identified bottleneck for the IBSP Proof of Concept (PoC)
Figure 2: Identified bottleneck for the IBSP Proof of Concept (PoC) The process of knowledge transfer from analysts to administrator before a Cloud is established. It begins with an image of a light bulb in the top left corner with the word "Analyze" written above it. The figure below shows three figures with the word "Analyst" below it. An arrow points right to the next image in the timeline, which is an octagon shape and a "no icon" within it. An arrow points right from there to an icon with stacked circles, meaning data is being organized. From this icon, an arrow is pointing right to a single person – the admin. There are multiple page icons beneath the admin icon with the words "Duplicate Articles" beneath it.

Knowledge transfer from analysts to administrator after a Cloud is established

The team introduced three components to find a solution to the identified bottleneck:

  • The Search Service from FDI: The FDI team has been facilitating metadata registration and discoverability through a data virtualization layer.Reference 5 The search engine is written on top of Elastic Search with API endpoints, allowing external and internal users to manage their data assets.
  • CKAN
  • The Azure Cloud tenant

The IBSP uploads data and metadata into CKAN and the Search Service from FDI. This enables analysts to search and access data and metadata. The two systems are in sync with the Azure Cloud tenant to manage user authentication and data storage

Figure 3: Solution provided for IBSP PoC

Figure 3: Solution provided for IBSP PoC
Figure 3: Solution provided for IBSP PoC This image depicts the process of knowledge transfer from Analysts to Administrator after a Cloud has been established. It begins with an image of a light bulb in the top left corner with the word "Analyze" written above it. Beneath the light bulb shows three people with the word "Analyst" below it. Two arrows point right to a box in the centre of the image with the word "Cloud" above it. One of the arrows from the analyst icon points to a monitor icon at the top of the Cloud box with the words "FDI: Search Service/Meta Data Repository". The other arrow points to a CKAN icon below the monitor icon. On the right side of Figure 3, there is an icon of a single person with the word "Admin" written beneath it. From the admin icon, two arrows point left – one to the monitor icon and the other to the CKAN icon. This depicts both positions working within the Cloud, providing a solution to the bottleneck issue from Figure 3.

A metadata management solution

A successful metadata management implementation should include; a metadata strategy, metadata integration and publication, metadata capture and storage, metadata governance and management. A metadata strategy guarantees that an organization's whole data ecosystem is consistent. This strategy explains why the company tracks metadata and identifies all of the metadata sources and methods it employs. Such strategy can be very complex in terms of the volume and the variations of the data along with the company's technological capabilities to support it. The diagram below is a high level overview on how such strategy can be implemented.

Figure 4: Metadata Infrastructure

Figure 4: Metadata Infrastructure
Figure 4: Metadata Infrastructure

The diagram showcases possible metadata infrastructure and how data typically flows from its sources (left to right) through to its consumers. It starts with an oval shaped placeholder with "Data Source" as its title. The placeholder contains four icons and four labels. Each icons are stacked vertically. The first icon represents the files labelled as "Structured Data". The second icon is a "two page" icon labelled as "Files". The third icon is a cog-shaped image labelled as Web API. The fourth and last icon are three squared shaped disks stacked on top of each other that means multiple data sources, representing other data.

From there, an arrow points to a larger icon labelled "Metadata Infrastructure" which outlines over four more oval placeholders stacked horizontally/side-by-side containing pairs of icons and labels with arrows pointing to the right in between them. The first placeholder has two sticky notes – one yellow labelled 'Data Transformation'. The other is green inscribed 'Data Standardization'.

From there, an arrow points to the next placeholder which contains two icons. The first icon is a desktop with a lock sign and two user logos, labelled 'Metadata registration'. Right below it, the second icon represents CKAN labelled "Data Catalog". From the first icon, an arrow points to stacked golden shaped circles labelled "Metadata repository". From the CKAN icon, one arrow points to the "Metadata Repository" and the second arrow points to the "Secure Data Storage". Inside this box there are three icons with labels which are placed horizontally. The first icon is a blue triangle representing "Azure Blob". The second icon is a cylindrical shape representing "Data Lake". The last icon in this box is a cloud shaped with arrow pointing upwards representing "Cloud Storage".

Two arrows point from this placeholder – one to the "Metadata repository" icon and "Search Services". The other arrow points to "Secure Data Storage" to an icon representing 'Access Control'.

From there, an arrow points to "Data Consumer". The placeholder contains four icons. Each icon are stacked vertically. The first icon is a desktop with charts and analytics with "Data Visualization and Reporting" as its label. The second icon is a browser icon that has a graph and a magnifying glass labelled "Data Analytics". The third icon is has a partial brain image with three wires connecting it labelled "Machine Learning". The fourth is a person labelled "Cognitive Services".

For any organization there is a list of data sources that comes in various forms such as structured data, flat file formats or through web APIs. And these data are consumed for analysts to visualize and report, create analytics or cognitive services. A metadata management strategy is central in ensuring that data is well interpreted and can be leveraged to bring results.

The first step of this data management is data ingestion which commonly goes through a set of transformations and classifications. Adopting a data standardization here is a key process as this will establish a common way of structuring and understanding the data, and include principles and implementation issues for using it. The business objective of this process will also allow collaborative analysis and exchange with external partners.

Through this standardization, the data custodians should be able to register data assets and metadata. They should have the ability to ingest and register their metadata, which will make their data assets discoverable and will allow them to continue to manage their data through a data virtualization layer. And this can be achieved by introducing a data cataloging tool that will help facilitate in providing a consistent method to find data and information that is available for both internal and external data partners of the organization.

With the use of open-source technology and modern cloud infrastructure, it's possible to create a platform where internal and external partners can ingest raw data from various sources to a secure storage space (i.e. Data Lake or Blob storage). Rather than having a 'on-prem' database for the data cataloging tool or the metadata registration like Postgres, etc. its more scalable and robust to have a cloud storage as a backend to these systems. It will not only allow to update, sync and share easily, but also help manage access control sensitive data as well.

Search-services can be implemented at the last layer of this strategy to make the data and metadata discoverable to its end users. When there is a data gap, users should be allowed to report so that data stewards could know what data needs in order to fill. All the communication between the components in the diagram can occur through APIs or SSH to allow modular integration system.

Lastly, an organization needs a metadata governance structure, which includes an assessment of metadata responsibility, life cycles, and statistics, as well as how metadata are integrated into various business processes.

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Data quality, concepts and methodology: Explanatory notes on direct program payments to agriculture producers 2022

Payments Enhancing Receipts

Explanatory notes for programs which existed prior to 2007 can be found in the discontinued Direct Payments to Agriculture Producers publication (21-015-X).

Agricultural Revenue Stabilization Account (ARSA) (2000 to 2002)

The objective of the Agricultural Revenue Stabilization Account program was to offer a risk management tool to farming operations in Quebec, based on the operation's gross income. To this effect, the program established two individual funds, for contributions from participants and La Financière agricole du Québec, and made provisions for withdrawals from these funds to compensate for reductions in farm income. The ARSA was a program developed and administered by La Financière agricole du Québec.

Following the introduction of the Canadian Agricultural Income Stabilization Program, La Financière agricole du Québec terminated this program in the 2002 program year. Consequently, participants had five years to make withdrawals from their account, at an annual minimum of 20% of the government contribution held on February 1st, 2005.

AgriInvest (2008 to present)

This program was created under the Growing Forward policy framework (2007 – 2013) and has continued under Growing Forward 2 (2013 – 2018) and the Canadian Agricultural Partnership (effective April 1, 2018). AgriInvest replaces part of the coverage that had been available under the Canadian Agricultural Income Stabilization (CAIS) program, and, operates similar to the former Net Income Stabilization Account (NISA) program.

Through government and producer contributions, AgriInvest provides cash flow to help producers manage small income declines, as well as provide support for investments to mitigate risks or improve market income. Producers can deposit up to 100% of their Allowable Net Sales, with the first 1% matched by governments. The limit on matching government contributions is $10,000 per AgriInvest account. AgriInvest is administered by the Federal government in all provinces except Quebec.

Agri-Québec (2011 to present)

Agri-Québec is a self-directed risk management program offered to all farming and aqua-farming operations in Quebec. The program allows participants to deposit an amount in an account under their name, in order to receive matching contributions from La Financière agricole du Québec. Participants can then withdraw the funds from the accounts, based on their operational needs. Agri-Québec is managed jointly by the provincial and federal governments, as it is similar and complimentary to AgriInvest.

Agri-Québec Plus (2015 to present)

The Agri-Québec Plus program offers additional financial assistance to eligible operations. Agri-Québec Plus complements AgriStability by offering a coverage level of 85% of the reference margin rather than 70%. The program covers agriculture products that are not covered or not associated with the ASRA program (Farm Income Stabilization Program) and are not supply-managed. Participation in the program is linked to the respect of environmental requirements.

AgriRecovery (2008 to present)

The AgriRecovery framework is part of a suite of federal-provincial-territorial (FPT) Business Risk Management (BRM) tools under the Canadian Agricultural Partnership (replacing Growing Forward 2, as of 2018).

AgriRecovery was designed to provide quick, targeted assistance to producers in case of natural disasters, with a focus on the extraordinary costs producers must take on to recover from disasters. Federal and provincial governments jointly determine whether further assistance beyond existing programs already in place is necessary, and what form of assistance should be provided. AgriRecovery initiatives are cost-shared on a 60:40 basis between the federal government and participating provinces or territories. The assistance provided will be unique to the specific disaster situation and often unique to a province or region. Examples of programs included in AgriRecovery are the 2017 and 2018 Canada-BC Wildfire Recovery Initiatives, and the 2017 Canada-Quebec Hail Assistance Initiative.

AgriStability (2007 to present)

This program was created under the Growing Forward policy framework (2007 – 2013) and has continued under Growing Forward 2 (2013 – 2018) and the Canadian Agricultural Partnership (effective April 1, 2018). AgriStability was developed as a margin-based program that provides income support when a producer experiences a large margin decline. AgriStability has replaced part of the coverage that had been provided under the Canadian Agricultural Income Stabilization (CAIS) Program.

AgriStability is delivered in Manitoba, New Brunswick, Nova Scotia, Newfoundland and Labrador and Yukon by the Federal government. In British Columbia, Saskatchewan, Alberta, Ontario, Quebec, and Prince Edward Island, AgriStability is delivered provincially.

Assiniboine Valley Producers Flood Assistance Program (2007 to 2011)

This Province of Manitoba program provided financial assistance for Assiniboine Valley agricultural producers who experienced crop loss or the inability to seed a crop in 2005 and 2006 along the Assiniboine River from the Shellmouth Dam to Brandon, due to flooding. This program also provided assistance in 2011, following flooding in 2010.

These programs were managed through the Manitoba Agricultural Service Corporation (MASC).

Beekeepers Financial Assistance Program (2014)

Due to harsh winter conditions in Ontario in 2014, and other pollinator health issues, Ontario's bee colonies experienced higher than normal mortality rates. To help offset these losses, the Ontario Ministry of Agriculture and Food provided one-time financial assistance of $105 per hive to beekeepers who have 10 hives or more and lost over 40 per cent of their colonies between Jan. 1, 2014, and Oct. 31, 2014.

Canada-Ontario General Top-Up Program (2005 to 2007)

This was a special top-up payment program which provided whole farm coverage to the Canadian Agricultural Income Stabilization (CAIS) Program participants in Ontario, who were automatically enrolled. All commodities eligible for CAIS payment were covered under this program. In order to qualify, participants must have experienced a decline in their program year production margin as calculated by the CAIS Program Administrator and be eligible to receive the government portion of the CAIS payment. The Ontario Ministry of Agriculture, Food and Rural Affairs were responsible for the overall administration of the program.

Canadian Agricultural Income Stabilization (CAIS) Program (2004 to 2008)

The CAIS program was available to producers across Canada and provided assistance to those producers who had experienced a loss of income as a result of bovine spongiform encephalopathy (BSE) or other factors. The program integrated stabilization and disaster protection into a single program, helping producers protect their farming operations from both small and large drops in income.

Canadian Agricultural Income Stabilization Inventory Transition Initiative (CITI) (2006 to 2007)

CITI was a one-time federal government injection of $900 million into Canada's Agriculture and Agri-food industry. The funds were delivered to producers by recalculating how the Canadian Agricultural Income Stabilization (CAIS) program valued inventory change for the 2003, 2004, and 2005 CAIS program years.

Canadian Agricultural Income Stabilization Ontario Inventory Transition Initiative (2006 to 2019)

The Ontario Inventory Transition Payment was an additional one-time payment from the province of Ontario, for the Canadian Agricultural Income Stabilization (CAIS) program participants, as it transitioned to a new method of valuing inventory for CAIS.

Compensation for animal losses (1981 to present)

Formerly a program under the Animal Disease and Protection Act, this compensation program is now administered by the Canadian Food Inspection Agency in accordance with requirements established under the Health of Animals Act. Producers in all provinces are compensated when farm animals infected with certain contagious diseases are ordered to be slaughtered. Compensation also includes applicable transportation and disposal costs and compensation for animals injured during testing.

Cost of Production Payment (COP) (2007 to 2010)

This program helped non-supply managed commodities producers with the rising cost of production. This federal program was based on producers' net sales for 2000-2004 (or in the case of new producers: payments were based on average net sales for 2005-2006).

Cover Crop Protection Program (CCPP) (2006 to 2008)

The CCPP was a Government of Canada initiative designed to provide financial assistance to agricultural producers who were unable to seed commercial crops as a result of flooding in the spring of 2005 and/or 2006.

Crop Insurance (1981 to present)

Crop Insurance (now referred to as AgriInsurance) is a federal-provincial-producer cost-shared program that stabilizes a producer's income by minimizing the economic effects of production losses caused by natural hazards. AgriInsurance is a provincially delivered program to which the federal government contributes a portion of total premiums and administrative costs. Premiums for most crop insurance programs are cost-shared: 40 per cent by participating producers, 36 per cent by the federal government and 24 per cent by the province, while administrative costs are funded by governments, 60 per cent by the federal government and 40 per cent by the province.

AgriInsurance plans are developed and delivered by each province to meet the needs of the producers in that province. AgriInsurance helps to cover production losses as well as losses from poor product quality. Both yield and non-yield based plans are offered. These plans cover traditional crops such as wheat, corn, oats and barley as well as horticultural crops such as lettuce, strawberries, carrots and eggplants. Some provinces also provide coverage for bee mortality as well as maple syrup production. The provinces constantly work to improve their programs by adjusting existing plans and implementing new ones to meet changing industry requirements.

Crop Loss Compensation (1981 to present)

Crop loss compensation programs are generally one element of a province's Wildlife damage compensation programs, which can also include separate Waterfowl damage and Livestock predation programs. This Big Game program reduces the financial loss incurred by producers in these provinces from wildlife damage to eligible crops, and can include compensation for wildlife excreta contaminated crops and silage in pits and tubes. In some provinces damage to honey producers and leafcutter bee products is also included.

Also see Livestock predation compensation, Waterfowl damage and Wildlife damage compensation programs.

Cull Animal Program (2003 to 2006)

This program was intended to assist farmers with the additional cost of feeding surplus animals while the US border was closed to Canadian animals over 30 months of age. With the goal of discouraging on-farm slaughter and encouraging movement of mature animals to domestic markets in an orderly fashion.

Cull Breeding Swine Program (2008)

This federally funded program for 2008, administered by the Canadian Pork Council, was designed to help restructure the industry to bring it in line with market realities. The objective was to reduce the national breeding herd size by up to 10% over and above normal annual reductions. Producers were eligible to receive a per head payment for each animal slaughtered as well as reimbursement for slaughter and disposal costs. Producers had to agree to empty at least one barn, and not restock for a three year period.

Dairy Direct Payment Program (2019-2023)

The objective of the Dairy Direct Payment Program is to support dairy producers as a result of market access commitments made under recent international trade agreements, namely the Canada–European Union Comprehensive Economic and Trade Agreement (CETA) and the Comprehensive and Progressive Agreement for Trans-Pacific Partnership (CPTPP).

In August 2019, the federal government announced that it will make available $1.75 billion to supply-managed milk producers. Up to $345 million in direct payments was made available in 2019-2020.

In November 2020, the government announced the payment schedule for the remaining $1.405 billion in direct payments over the next three years:

  • $468 million in 2020-21
  • $469 million in 2021-22
  • $468 million in 2022-23

The Canadian Dairy Commission (CDC) has been mandated to deliver the program.

Drought Assistance for Livestock Producers (2007 to 2008)

This program was enacted in 2007, to assist livestock owners in Northern B.C. who suffered economic hardship in 2006 due to drought. Drought conditions in the summer of 2006 reduced hay and forage yields by up to 50% and producers were left with higher costs for feed, water and other expenses.

Fed Cattle Set Aside Program (2005 to 2006)

The program was part of a national strategy to assist Canada's cattle industry to reposition itself to help ensure its long-term viability.

Financial Assistance for Replanting Apple Orchards (2020-2022)

The financial assistance for replanting apple orchards program is being implemented to support the apple industry during the transition period following the termination of the Farm Income Stabilization Insurance Program coverage.

The program is intended to support development of the apple industry from a sustainable development perspective, as a complement to other government assistance available to the apple industry.

More specifically, this program is intended to provide financial support to apple businesses in their apple orchard replanting projects.

Eligible businesses may receive financial assistance of $5,000 per replanted hectare for up to four hectares. If the business is deemed eligible for one of the grants under the Financial Support Program for Aspiring Farmers on the date that they submitted their application to the program, the assistance is increased to $6,250 per eligible hectare.

Frost loss Program (2018-2019)

The Frost Loss Program helped Nova Scotia Farmers recover from crop and financial losses from the frost in June 2018.

This program provided financial assistance in addition with other Business Risk Management programs that were available, such as AgriInsurance.

Golden Nematode Disaster Program (2007 to 2009)

The objective of this programs was to assist producers affected by Golden Nematode with the costs of disposing potatoes  and a per hectare support payment to assist potato producers and producers of nursery and greenhouse crops with extraordinary costs not covered under existing programs. The program was funded by the federal government.

Grains and Oilseeds Payment (GOPP) (2006)

The Grains and Oilseeds Payment Program was a one-time program for producers of grains, oilseeds, or special crops, to help address the severe economic hardships they were facing.

Hazelnut Renewal Program (2020-2021)

This provincially funded program provides funds to remove infected trees to mitigate the spread of Eastern Filbert Blight and to provide incentives for the planting of new disease-resistant hazelnut trees in British Columbia.

Types of Program Funding:

  • Hazelnut Renewal: Funding to provide incentives for the planting of new Eastern Filbert Blight (EFB) resistant hazelnut trees in British Columbia.
  • Removal of EFB Infected Hazelnut Trees: Funding to remove infected trees to mitigate the spread of EFB and to protect new orchards.

Hog Transition Fund (2008)

This program was designed to assist Nova Scotia hog producers who were having financial difficulties due to declining market prices in 2006-2007. The program was administered through Pork Nova Scotia.

Lake Manitoba Flood Assistance Program (2011 to present)

This program was designed to provide financial compensation to crop and livestock producers affected by the flooding of Lake Manitoba in 2011. Part A - Lake Manitoba Pasture Flooding Assistance Component and Part B - Lake Manitoba Transportation and Crop/Forage Loss Component, are included. This program is funded entirely by the provincial government.

Livestock Insurance Programs (1991 to present)

The Livestock Insurance Programs include a number of provincially administered livestock insurance programs. These programs include:

The Cattle Price Insurance Program (2009 to present), designed to provide Alberta cattle producers with an effective price risk management tool reflective of their risk. As of 2014, this program is now referred to as the Western Livestock Price Insurance Program.

Dairy Livestock Insurance (1991 to present), implemented to assist Nova Scotia producers when a number of cattle were lost due to disease outbreaks. The program continues to exist for situations resulting in a significant loss in production, causing a loss of revenue.

The Hog Price Insurance Program (2011 to present), designed to provide Alberta hog producers with protection against unexpected declines in Alberta hog prices, over a defined period of time. As of 2014, this program is now referred to as the Western Livestock Price Insurance Program.

Livestock Insurance in Newfoundland and Labrador (1991 to present) compensates producers for the death or injury to sheep, goats, dairy cattle or beef cattle caused by dogs or other predators.

Livestock Insurance in Prince Edward Island (2009 to present) offers two types of coverage: compensation to cattle producers for the death of an animal due to disease, as well as compensation to dairy producers whose production levels fall beneath a set threshold, causing a loss of income.

The Overwinter Bee Mortality Insurance (2012 to present) insures Manitoban beekeepers against unmanageable wintering losses, including weather-related damages, diseases and pests. As of 2014 the data for this program is included in Crop Insurance.

Poultry Insurance (2008 to present) compensates Nova Scotia producers for the loss of poultry (which includes broilers, breeders, breeder pullets, layer pullets, commercial layers and integrated layers) to the disease infectious laryngotracheitis (ILT).

The Western Livestock Price Insurance Program (WLPIP) (2014 to present) enables livestock producers to purchase price protection on cattle and hogs in the form of an insurance policy. It offers protection against an unexpected drop in prices over a defined period of time, and is available to producers in British Columbia, Alberta, Saskatchewan and Manitoba.

Administration costs are covered by the federal and provincial governments through Growing Forward 2. Premiums will be fully funded by producers, but any deficit after four years will be made up by the federal government. The four-province program will be managed by the Alberta Agriculture Financial Services Corp, which ran the pre-existing Cattle and Hog Price Insurance programs in Alberta. Crop insurance entities in Manitoba and Saskatchewan will deliver the WLPIP in those provinces. The Business Risk Management Branch of the British Columbia Ministry of Agriculture delivers the program in that province.

Additional notes on the Livestock Insurance Programs

Producer premiums for the Prince Edward Island Livestock Insurance and Dairy Livestock Insurance in Nova Scotia (as of 2006) are partially subsidized by the provincial and federal governments.

Premiums are not subsidized for the Cattle Price Insurance Program, the Hog Price Insurance Program, Livestock Insurance in Newfoundland and Labrador, Poultry Insurance program in Nova Scotia, or the Western Livestock Price Insurance Program. However, the costs of administrating the programs are funded by provincial governments and/or Crown Corporations.

Prior to 2005, Dairy Livestock Insurance in Nova Scotia and Livestock Insurance in Newfoundland and Labrador were reported under Programs funded by the private sector.

Livestock Predation Compensation Program

Manitoba (1999 to present) - This program compensates livestock producers in Manitoba for losses from injury or death of eligible livestock that resulted from losses due to natural predators such as black bear, cougar, wolf or coyote. Compensation is available to 100% of the assessed value of the animal, for a confirmed loss due to predation and to 50% of the value for a probable loss. In respect for livestock injured, the payment will be the lesser of the veterinary treatment or the value of the livestock. The government of Manitoba pays 60% of program payments and the Government of Canada 40%. Administration costs are cost-shared 50/50 between the Government of Canada and the Government of Manitoba.

Saskatchewan (2010 to present) - Under the Wildlife Damage Compensation Program, the Saskatchewan Compensation for Livestock Predation compensates producers for livestock killed or injured by predators. The first 80 percent of the program funding is cost-shared by federal and provincial governments. The provincial government contributes the remaining amount. The program is administered by the Saskatchewan Crop Insurance Corporation. Other components of the Wildlife Damage Compensation Program include Waterfowl damage compensation and Crops loss compensation (reported separately).

Also see Crop loss compensation, Waterfowl damage and Wildlife damage compensation programs.

Manitoba Ruminant Assistance Program (2008)

This one-time payment for 2008, funded jointly by the province of Manitoba and the federal government, allowed cattle producers to receive a direct payment of up to 3% of historical net sales. The payment, administered by the Manitoba Agricultural Services Corporation (MASC), was provided to all ruminant producers and was in proportion to the size of the producer's livestock operations.

Manitoba Spring Blizzard Livestock Mortalities Assistance Program (2011 to 2012)

The 2011 Manitoba Spring Blizzard Mortalities Assistance program provided assistance to Manitoba producers who experienced livestock losses following the blizzard that hit April 29th and 30th, 2011. Compensation is provided for animal deaths that occurred, as a result of the storm, between April 29th and May 5th 2011. This program is funded and administered by Manitoba Agriculture, Food and Rural Initiatives (MAFRI).

Marketing and Vineyard Improvement Program (MVIP) (2015-2016)

This program provides funds for eligible vineyard improvements to enable growers in Ontario to produce quality grapes in order to respond to the growing demands of Ontario wine manufacturers and to adapt ongoing and emerging vineyard challenges. This payment will be overseen by Agricorp (a provincial crown corporation) and was created under the Wine and Grape Strategy to promote Ontario VQA (Ontario's Wine Authority) and support vineyard production improvements. Only certain non-capital payments to producers are included in the Direct payments data series (e.g. wine grape vine removal, land preparation, etc.).

Measure to support grain corn producers in mitigating the impact of the 2019 rise in propane prices in Québec (2019-2020)

The measure to support grain corn producers in mitigating the impact of the 2019 rise in propane prices in Québec is meant to help reduce the repercussions on grain corn production due to the rise in prices of propane which is used to dry grain corn. This measure covered grain corn not yet harvested by November 19, 2019, the date when Canadian National Railway employees went on strike.

Financial assistance is provided in the form of a maximum flat rate of $23.50 per hectare of eligible grain corn areas for up to $50,000 per farm business.

Net Income Stabilization Account (NISA) (1991 to 2009)

The Net Income Stabilization Account (NISA) was established in 1991 under the Farm Income Protection Act.

The purpose of NISA was to encourage producers to save a portion of their income for use during periods of reduced income. Producers could deposit up to 3% of their Eligible Net Sales (ENS) annually in their NISA account and receive matching government contributions. The federal government and several provinces offered enhanced matching contributions over and above the base 3% on specified commodities. All these deposits earn a 3% interest bonus in addition to the regular rates offered by the financial institution where the account is held.

Most primary agricultural products were included in the calculation of Eligible Net Sales (sales of qualifying commodities minus purchases of qualifying commodities), the main exception being those covered by supply management (dairy, poultry and eggs).

The NISA account was comprised of two funds. Fund No. 1 which held producer deposits while Fund No. 2 contained the matching government contributions and all accumulated interest earned on both Fund 1 and Fund 2. Included as payments in the series «Direct Program Payments to Producers» were the producer withdrawals from Fund 2.

Nova Scotia Beef Kickstart Program (2008)

This one-time payment for 2008 provided funding for Nova Scotia's beef industry with the goal of helping the sector move toward greater economic self-sustainability.

Nova Scotia Margin Enhancement Program (2007 to 2008)

This initiative introduced in 2006, was a provincial initiative that provided additional income support to Nova Scotia producers. Using 2003 CAIS program data, reference margins of CAIS participants were increased by 10%.

Ontario Cattle, Hog and Horticulture Program (OCHHP) (2008)

This one-time payment for 2008, funded by the province of Ontario, was to assist farmers suffering from multiple financial pressures due to the stronger Canadian dollar, and lower market prices. Payments for cattle and hog producers were based on 12% of their historic allowable net sales, while payments for horticulture were based on 2% of allowable net sales.

Ontario Cost Recognition Top-up Program (2007 to 2010)

This program was a 40% matching provincial contribution to the federal Cost of Production Payment Program. This program was a direct payment to producers in recognition of rising production costs over the previous few years. The Ontario Top-Up Program payments were distributed after the payment details regarding the federal program were released.

Ontario Duponchelia Assistance Program (2008)

The purpose of this initiative was to provide financial support to horticulture producers in the Niagara Region of Ontario affected by Duponchelia, a reportable pest. The initiative provided a federal share (60%) of financial compensation to assist these producers in addressing plant replacement costs and in dealing with extraordinary expenses incurred due to quarantine measures imposed by the Canadian Food Inspection Agency (CFIA).

Ontario Edible Horticulture Crop Payment (2006)

This one-time payment compensates Ontario producers of edible horticulture crops for losses experienced on their 2005 crop.

Edible Horticulture Support Program for Edible Horticulture Farmers (2018-2019)

Ontario

This program provides financial support to Ontario producers of edible horticulture products (small and medium-size agricultural operators) to adjust to the changing small business environment. This program is funded by the Government of Ontario and the payments are based on net sales of edible horticulture. Self-Directed Risk Management Program participants are enrolled automatically.

Ontario Special Beekeepers Fund (2007 to 2008)

The Special Beekeepers Fund, enacted in June, 2007, provided direct compensation to beekeepers who suffered higher than normal hive losses during the winter of 2006. The assistance was designed to help bring Ontario's bee population back to near-normal levels, and beekeepers back to normal business.

PEI Pollination Expansion Program (2021 present)

The Prince Edward Island Department of Agriculture and Land has established the PEI Pollination Expansion Program to support the sustainable increase of local honey bee colonies that are available for the pollination of wild blueberries and other fruit crops and the advancement of the beekeeping sector through strategic industry initiatives.

PEI Potato Seed Recovery Program (2020)

The purpose of the Potato Seed Recovery Program is to offset extraordinary costs and a loss in revenue for Island seed potato producers impacted by the pandemic. This payment is a $1.19 million fund and is a provincially funded program.

Porcine Epidemic Diarrhea Programs (PED)

Prince Edward Island (2014) - The Prince Edward Island PED program provided financial aid to hog farmers for increased sanitation and screening measures to help combat the pig virus. This was a cost-shared program between the federal and provincial governments under Growing Forward 2. The program was administered by the PEI Hog Board.

Québec (2015 to present) - Emergency Fund Program in Response to Porcine Epidemic Diarrhea (PED) and Swine Delta Coronavirus (SDCV) in Québec. The purpose of this program is to provide assistance to affected operations, up to a maximum of $20,000 per production site, to cover certain additional expenses required to combat this disease and prevent it from spreading. The program is financed by La Financière agricole and administered by the Québec swine health team (EQSP). The fund has a maximum budget of $400,000.

Portage Diversion Fail-Safe compensation program (2014 to present)

This program was designed to provide financial assistance to Manitoba agricultural producers affected by the 2014 flooding due to the operation of the Portage diversion fail-safe. This program was fully funded by the Manitoba Government and is being administrated by Manitoba Agricultural Services Corporation (MASC).

Post-tropical Storm Dorian Response Program (DRP) (2020-2021)

The Prince Edward Island Department of Agriculture and Land has established the Post-tropical Storm Dorian Response Program (DRP) to provide financial support to corn, crambe, and tree fruit producers who have incurred extraordinary costs due to Dorian which are not covered by existing Business Risk Management programs.

Prince Edward Island Beef Industry Initiative (2007 to 2008)

This one-time payment for 2008 was designed to assist beef producers in Prince Edward Island to adjust to current market conditions and develop improved quality in their herds. The program provided immediate assistance to producers to help mitigate risk and provided genetics and enhanced herd health incentives. Payments were based on a combination of their average net sales and December 2007 inventory.

Prince Edward Island Hog Transition Fund (2008)

This program was designed to reduce hog numbers through a buyout program. It provided funds for producers to transition out of hog production.

Privately funded programs

Private hail insurance (1981 to present)

Private Hail Insurance is purchased by agricultural producers to protect themselves against the loss of their crops due to hail. Hail insurance is privately funded through producer premiums and producers may have the option to extend coverage for damage to crops due to loss through fire, depending on the insurance provider.

Other Private Programs (2011 to present)

Alberta Hog and Cattle Levy Refund (2011 to present)

In May 2011, Alberta Pork announced it would refund 85 cents for every dollar of levies it had collected from producers during the 2010-2011 fiscal year to assist producers coping with rising feed costs and small profit margins.

Legislation regarding levies in Alberta also changed in 2011. Levies for pork, beef, lamb, and potato producers had been mandatory until a change is legislation gave these producers the right to ask for a refund of the levies paid. Since that time, estimates for the hog and cattle levies refunded have been produced.

Heinz payment (2013)

Due to the closure of the Ontario Heinz processing plant in 2013, Heinz has paid a one-time 'goodwill' payment to compensate the farmers that were under contract to deliver processing tomatoes in 2013. The payment was to help offset costs that farmers may have incurred in preparing for the 2013 crop.

Programme d'aide pour les inondations en Montérégie (2011 to 2012)

This program provided financial assistance to agricultural enterprises affected by the floods of spring 2011, in the Richelieu valley. Compensation was offered to producers for loss of income due to flooded farmland, and/or losses due to unseeded acreage.

Programme d'appui à la replantation des vergers de pommiers au Québec (2007 to 2010)

The first component of this MAPAQ (Ministère de l'Agriculture, des Pêcheries et de l'Alimentation du Québec) program offered replanting help in order to improve efficiency, profitability as well as competitiveness. The objective of the second component was to compensate apple producers for the loss of apple trees due to winter-kill (frost) in 1994.

Provincial Stabilization Programs (1981 to present)

Under provincial stabilization programs, payments are made in order to support producer incomes affected by small profit margins, or low prices, for selected commodities. Provincial stabilization programs are partly funded by the provincial government, either directly through the subsidization of producer premiums, or indirectly by absorbing a part, or the whole, of the cost of administering the program. These programs are optional, and producers are required to pay premiums in order to participate.

Farm Income Stabilization Program (ASRA) (1981 to present)

The Farm Income Stabilization Insurance Program is designed to guarantee a positive net annual income to producers in Quebec. Producers participating in the program receive funds when the average selling price falls below a stabilized income, which is based on the average production cost in a specific sector. ASRA is complementary to AgriStability, but participation in AgriStability is not mandatory. Payments under ASRA decrease in accordance to amounts paid out through AgriStability. ASRA premiums are partially funded by the provincial government, which pays two thirds of the cost of premiums, while producers pay the remaining third.

Ontario Risk Management Program (RMP) (2007 to present)

ORMP is a provincial program that offers compensation to Ontario producers for losses of income caused by fluctuating market prices and rising production costs. Commodities eligible for compensation include a variety of grains and oilseeds, as well as certain livestock, including cattle, calves, hogs and sheep. The program also offers compensation for unseeded acres, under certain conditions. In order to participate in this program, producers must also participate in AgriStability, as well as Production Insurance (for grains and oilseeds). Payments made under ORMP count as an advance on the provincial portion of AgriStability for the corresponding program year. Because ORMP is provincially funded, it has no impact on the federal portion of AgriStability payments. ORMP premiums are partly funded by the provincial government, which pays 40% of the cost of premiums, while producers pay the remaining 60%.

Saskatchewan Cattle and Hog Support Program (2009)

This program helped producers retain their breeding herds and address immediate cash flow needs.

Saskatchewan Feed and Forage Program - 2011 (2011 to 2012)

This program provided compensation to producers who had to transport additional feed to their livestock, or transport their livestock to alternate locations for feeding and grazing, due to feed shortages caused by excess moisture. In addition, financial assistance was provided to producers who had to reseed hay, forage or pasture land that had been damaged by excess moisture. This provincially-funded program replaces the initial Saskatchewan Feed and Forage Program (2010-2011), which was jointly offered by the provincial and federal governments, as part of AgriRecovery.

Self-Directed Risk Management (SDRM) (2005 to present)

SDRM is a provincial program designed to help Ontarian horticultural producers manage farm operation risk. Under the program, over 150 edible horticultural crops are eligible for coverage, including fruits, vegetables, mushrooms, herbs and spices, nuts, honey and maple products. To be eligible, producers must also participate in AgriStability, and meet the minimum amount of allowable net sales (ANS). Participating producers can deposit up to a maximum of 2% of their ANS into an account, and have their contribution matched by the provincial government. Payments made under SDRM count as an advance on the provincial portion of AgriStability for the corresponding program year. Because SDRM is provincially funded, it has no impact on the federal portion of AgriStability payments. Amounts received under Production Insurance for a crop also covered by SDRM will be deducted from SDRM payments.

Shoal Lakes Agriculture Flooding Assistance Program (2011)

The purpose of this program is to provide financial support to agriculture producers affected by chronic flooding in the Shoal Lakes Complex in the Interlake of Manitoba.

  1. Land payments on a per acre basis were provided to farm operators to compensate for lost income related to agricultural production that cannot be realized due to flooded acres in 2010 and 2011.
  2. Financial assistance for transportation costs incurred between April 1, 2011 and March 15, 2012 to those farm operators who needed to transport feed to livestock or livestock to feed, due to the flooding.

This payment was administered by the Manitoba Agriculture Corporation (MASC), with the assistance of Manitoba Agriculture, Food & Rural Initiatives (MAFRI).

Support Program for the Eradication of Chronic Wasting Disease in Cervids (CWD) (2019 to present)

This program implemented by La Financière agricole du Québec offers financial aid to cervid producers affected by the measures taken to eradicate CWD.

There are two categories of aid under this program:

  • The first compensates cervid producers ordered to slaughter and dispose of animals under the Animal Health Protection Act.
  • The second financially supports cervid producers required to implement sanitary measures stipulated under the Animal Health Protection Act.

Syndrome de dépérissement postsevrage (SDP) (2008 to 2010)

This MAPAQ (Ministère de l'Agriculture, des Pêcheries et de l'Alimentation du Québec) program granted financial support to Quebec feeder hog operations affected by Post Weaning Multisystemic Wasting Syndrome (PMWS).

Transitional Production Adjustment Program (1996) (1993 to 1997 and 1999 to 2008)

Under the Tree Fruit Revitalization Program, British Columbia orchardists were guaranteed specific annual revenue per acre during the first three years, following replant of orchards to new high density tree fruit varieties.

Tree Fruit Replant Program (previously known as Tree fruit grafting/budding and replant program) (2008 to 2011, 2012 to present)

In 2008, the Transitional Production Adjustment Program ended and the Tree fruit grafting/budding and replant program started. In July 2007, the federal and provincial governments jointly announced that they were investing $8 million to help British Columbia's tree fruit and grape industries adapt to changing markets. The cost was shared (60% federal, 40% provincial) and the program lasted for three years.  In 2012, the provincial government invested an additional $2 million to replant tree fruit orchards to expand domestic markets through high-quality products by targeting the planting of premium varieties. The program, which also includes a grafting and budding component, concluded in 2014. The 2015 program is the first year of a 7 year commitment by British Columbia of $8.4 million announced in Nov 2014. This is a British Columbia Agriculture Department program that shares the administration of the program with the British Columbia Fruit Growers Association under contract until 2016.

2019-2020 B.C. AgriStability Enhancement Program 

The British Columbia government is offering greater coverage to farmers who have lost income due to weather, trade challenges or natural disaster. The Program includes:

  • Increasing the compensation rate, for all farms, from 70% to 80% on income margin losses greater than 30%. In other words, B.C. will be adding 14.3% to every AgriStability payment.
    • An AgriStability payment is triggered when a producer's current margin (allowable income less allowable expenses) drops more than 30% below their average historical margin (referred to as Reference Margin)
  • Eliminating the Reference Margin Limit (RML) which reduced compensation for some farms.
    • Farms which have wide margins due to low eligible expenses will no longer have their compensation reduced due to the RML.

Unseeded Acreage Payment - 2006 (2006 to 2007)

This program provided a payment to Saskatchewan farmers who experienced excess moisture conditions prior to June 20, 2006 and were unable to seed 95% of the acres they would normally intend to seed.

Waterfowl Damage (1981 to present)

Waterfowl damage payment programs are designed to compensate producers for crop losses caused by waterfowl. Compensation is also available for cleaning excreta contaminated grain in some provinces, and for prevention management.

Also see Crop loss compensation, Livestock predation compensation and Wildlife damage compensation programs.

Wildlife Damage Compensation Program

British Columbia (2002 to present) - The British Columbia Wildlife Compensation program is part of an Agricultural Environment Partnership Initiative that includes the following programs: The Waterfowl Damage to Forage Fields in Delta, Wild Predator Loss Control and Compensation Program for Cattle and East Kootenay Agriculture Wildlife Pilot Project. These programs are designed to compensate producers for the losses incurred to crops and livestock due to wildlife.

New Brunswick (2014 to present) - This cost-shared program compensates producers who suffer livestock or crop losses due to wildlife. Compensation is available for specified crops and livestock for damage caused by eligible wildlife. The maximum compensation per producer is $50,000 per year. The New Brunswick Agricultural Insurance Commission (NBAIC) administers this program, applicants are not required to be an insurance client to receive compensation.

Nova Scotia (2008 to present) - This cost-shared program, announced in 2008, will help address some of the risks experienced by Nova Scotia farmers regarding damage to eligible agricultural products because of the activities of wildlife, including wildlife predation on livestock and damage to crops. Applicants are not required to have crop insurance.

Ontario (2008 to present) - The Ontario Wildlife Damage Compensation Program provides financial assistance to eligible applicants whose livestock and poultry have been injured or killed by wolves, coyotes, bears and other species of wildlife identified in the program guidelines, or whose bee-colonies, bee-hives and bee-hive related equipment have been damaged by bears, raccoons, deer and skunks. The program was funded by the provincial government up to the fiscal year of 2008/2009 and became part of Growing Forward - a federal, provincial and territorial initiative starting from fiscal year 2009/2010, when cost-sharing of the program began between the governments of Canada and Ontario.

Also see Crop loss compensation, Livestock predation compensation and Waterfowl damage programs.

Quarterly Survey of Financial Statements: Weighted Asset Response Rate - first quarter 2022

Weighted Asset Response Rate
Table summary
This table displays the results of Weighted Asset Response Rate. The information is grouped by Release date (appearing as row headers), 2020, Q3 and Q4 and 2021, Q1, Q2 and Q3 calculated using percentage units of measure (appearing as column headers).
Release date 2021 2022
Q1 Q2 Q3 Q4 Q1
quarterly (percentage)
May 25, 2022 81.6 80.7 79.0 77.3 56.7
February 23, 2022 81.0 77.2 75.6 54.2 ..
November 23, 2021 80.4 74.5 56.7 .. ..
August 24, 2021 77.2 60.9 .. .. ..
May 25, 2021 57.6 .. .. .. ..
.. not available for a specific reference period
Source: Quarterly Survey of Financial Statements (2501)

Brochure - Canadian Survey on Disability

Your experience. Your voice. Your needs.

About the survey

The Canadian Survey on Disability (CSD) is one of the most comprehensive national surveys on Canadians aged 15 and older whose everyday activities are limited because of a long-term condition or health-related problem. It provides valuable insights about the lived experiences, challenges and well-being of persons with disabilities.

Why should I participate?

Your answers represent those of other Canadians just like you. Your participation is essential to ensure that the data are as complete as possible!

The information you provide will help guide decisions about policies, programs and services designed to improve the lives of persons with disabilities.

With your support, we can move one step closer to a barrier-free Canada.

What do you want to know about me?

The CSD asks important questions about a wide range of topics, including education and employment experiences; use of specialized aids and assistive devices; and need for help, therapies and supports.

New topics for 2022

  • Food security
  • Social isolation
  • Accessibility barriers
  • Homelessness
  • Sexual orientation
  • Cannabis use
  • COVID-19

When will the results be available?

Survey results will be available in the winter of 2023/2024.

Where can I get more information about the survey?

Statistics Canada Help Line: 1-833-977-8287

Telecommunications device for the hearing impaired (TTY): 1-866-753-7083

*If you use an operator-assisted relay service, you can call us during regular business hours. You do not need to authorize the operator to contact us.

Statistics Canada website: Canadian Survey on Disability (CSD)

Thank you for participating!

National Travel Survey: C.V.s for Visit-Expenditures by Duration of Visit, Main Trip Purpose and Country or Region of Expenditures – Q4 2021

National Travel Survey: C.V.s for Visit-Expenditures by Duration of Visit, Main Trip Purpose and Country or Region of Expenditures, including expenditures at origin and those for air commercial transportation in Canada, in Thousands of Dollars (x 1,000)
Table summary
This table displays the results of C.V.s for Visit-Expenditures by Duration of Visit, Main Trip Purpose and Country or Region of Expenditures. The information is grouped by Duration of trip (appearing as row headers), Main Trip Purpose, Country or Region of Expenditures (Total, Canada, United States, Overseas) calculated using Visit-Expenditures in Thousands of Dollars (x 1,000) and c.v. as units of measure (appearing as column headers).
Duration of Visit Main Trip Purpose Country or Region of Expenditures
Total Canada United States Overseas
$ '000 C.V. $ '000 C.V. $ '000 C.V. $ '000 C.V.
Total Duration Total Main Trip Purpose 14,462,173 A 10,923,996 A 1,556,359 B 1,981,817 B
Holiday, leisure or recreation 6,191,335 A 4,317,768 A 811,531 B 1,062,036 B
Visit friends or relatives 4,377,211 B 3,461,362 A 369,965 C 545,883 D
Personal conference, convention or trade show 117,387 C 116,797 C 590 E ..  
Shopping, non-routine 822,915 B 760,444 B 60,992 C 1,479 E
Other personal reasons 1,146,858 B 826,902 B 51,207 D 268,750 E
Business conference, convention or trade show 396,991 C 279,780 C 73,663 D 43,548 E
Other business 1,409,475 B 1,160,944 B 188,410 E 60,121 E
Same-Day Total Main Trip Purpose 3,679,201 A 3,604,902 A 73,089 C 1,210 E
Holiday, leisure or recreation 1,172,807 B 1,157,398 B 14,202 E 1,206 E
Visit friends or relatives 1,046,253 B 1,035,932 B 10,321 E ..  
Personal conference, convention or trade show 39,009 C 39,009 C ..   ..  
Shopping, non-routine 691,073 B 655,008 B 36,065 C ..  
Other personal reasons 405,403 B 402,971 B 2,432 E ..  
Business conference, convention or trade show 47,520 D 47,520 D ..   ..  
Other business 277,136 C 267,064 C 10,069 E 4 E
Overnight Total Main Trip Purpose 10,782,971 A 7,319,094 A 1,483,270 B 1,980,608 B
Holiday, leisure or recreation 5,018,528 B 3,160,370 A 797,329 B 1,060,830 B
Visit friends or relatives 3,330,958 B 2,425,430 A 359,644 C 545,883 D
Personal conference, convention or trade show 78,379 D 77,788 D 590 E ..  
Shopping, non-routine 131,842 C 105,436 C 24,927 E 1,479 E
Other personal reasons 741,455 C 423,931 B 48,775 D 268,750 E
Business conference, convention or trade show 349,471 C 232,259 C 73,663 D 43,548 E
Other business 1,132,338 B 893,880 B 178,342 E 60,117 E
..
data not available

Estimates contained in this table have been assigned a letter to indicate their coefficient of variation (c.v.) (expressed as a percentage). The letter grades represent the following coefficients of variation:

A
c.v. between or equal to 0.00% and 5.00% and means Excellent.
B
c.v. between or equal to 5.01% and 15.00% and means Very good.
C
c.v. between or equal to 15.01% and 25.00% and means Good.
D
c.v. between or equal to 25.01% and 35.00% and means Acceptable.
E
c.v. greater than 35.00% and means Use with caution.

National Travel Survey: C.V.s for Person-Trips by Duration of Trip, Main Trip Purpose and Country or Region of Trip Destination – Q4 2021

National Travel Survey: C.V.s for Person-Trips by Duration of Trip, Main Trip Purpose and Country or Region of Trip Destination – Q4 2021
Table summary
This table displays the results of C.V.s for Person-Trips by Duration of Trip, Main Trip Purpose and Country or Region of Trip Destination. The information is grouped by Duration of trip (appearing as row headers), Main Trip Purpose, Country or Region of Trip Destination (Total, Canada, United States, Overseas) calculated using Person-Trips in Thousands (× 1,000) and C.V. as a units of measure (appearing as column headers).
Duration of Trip Main Trip Purpose Country or Region of Trip Destination
Total Canada United States Overseas
Person-Trips (x 1,000) C.V. Person-Trips (x 1,000) C.V. Person-Trips (x 1,000) C.V. Person-Trips (x 1,000) C.V.
Total Duration Total Main Trip Purpose 53,924 A 51,330 A 1,615 B 978 B
Holiday, leisure or recreation 16,887 A 15,881 A 464 B 541 B
Visit friends or relatives 23,973 A 23,182 A 475 B 316 B
Personal conference, convention or trade show 564 C 564 C 1 E ..  
Shopping, non-routine 3,722 B 3,431 B 289 C 1 E
Other personal reasons 4,567 B 4,363 B 119 D 85 D
Business conference, convention or trade show 608 B 553 C 41 D 14 E
Other business 3,603 B 3,356 B 226 D 21 E
Same-Day Total Main Trip Purpose 34,984 A 34,371 A 613 B ..  
Holiday, leisure or recreation 10,048 A 9,981 A 67 D ..  
Visit friends or relatives 14,573 A 14,497 B 76 E ..  
Personal conference, convention or trade show 397 C 397 C ..   ..  
Shopping, non-routine 3,480 B 3,228 B 252 C ..  
Other personal reasons 3,637 B 3,563 B 74 E ..  
Business conference, convention or trade show 275 C 275 C ..   ..  
Other business 2,574 B 2,430 C 144 E ..  
Overnight Total Main Trip Purpose 18,939 A 16,959 A 1,002 B 978 B
Holiday, leisure or recreation 6,839 A 5,900 A 397 B 541 B
Visit friends or relatives 9,400 A 8,685 A 398 B 316 B
Personal conference, convention or trade show 167 D 166 D 1 E ..  
Shopping, non-routine 242 C 203 C 37 D 1 E
Other personal reasons 930 B 800 B 45 D 85 D
Business conference, convention or trade show 333 C 278 C 41 D 14 E
Other business 1,029 B 927 B 82 D 21 E
..
data not available

Estimates contained in this table have been assigned a letter to indicate their coefficient of variation (c.v.) (expressed as a percentage). The letter grades represent the following coefficients of variation:

A
c.v. between or equal to 0.00% and 5.00% and means Excellent
B
c.v. between or equal to 5.01% and 15.00% and means Very good.
C
c.v. between or equal to 15.01% and 25.00% and means Good.
D
c.v. between or equal to 25.01% and 35.00% and means Acceptable.
E
c.v. greater than 35.00% and means Use with caution.