Survey of Wage Rates for Hired Farm Labour

Survey of Wage Rates for Hired Farm Labour
Summary of changes
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Detailed information for fourth quarter 1997

Status:

Inactive

Frequency:

Quarterly

Record number:

3449

This survey collected data on wage rates paid to hired farm labour. This data which is a key component of the Farm Input Price Index (FIPI) was required by Agriculture and Agri-Food Canada as essential information to run their Gross Revenue Insurance Plan (GRIP).

Data release - May 13, 1998

Description

This discontinued survey collected data on wage rates paid to hired farm labour. This data which is a key component of the Farm Input Price Index (FIPI) was required by Agriculture and Agri-Food Canada as essential information to run their Gross Revenue Insurance Plan (GRIP).

Reference period: A quarter

Collection period: 10th of February, May, August and November to 20th of February, May, August and November

Subjects

  • Agriculture and food (formerly Agriculture)
  • Farm financial statistics
  • Labour
  • Wages, salaries and other earnings

Data sources and methodology

Instrument design

In consultation with methodologists, it was decided to use the existing infrastructure built for surveying farm operators.

Sampling

This is a sample survey.

The quarterly sample is a systematic 1 in 4 sample of farm operators who reported hired farm labour on the 1996 Census of Agricullture. A different stratified random sample of 750 farms was used each quarter. It was optimized by province, type of farm and size of farm.The enumeration is done by the regional offices using computer assisted telephone interviews.

Error detection

Estimates with inappropriate values were imputed by an agriculture specialist.

Estimation

The sample results will be weighted up to the population using the sample weights. The results are published as indexes of rate change by province and type of farm. The first quarter estimates include estimates of average wage rates by province and type of work for the previous year.

Disclosure control

Statistics Canada is prohibited by law 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. Various confidentiality rules are applied to all data that are released or published to prevent the publication or disclosure of any information deemed confidential. If necessary, data are suppressed to prevent direct or residual disclosure of identifiable data.

In order to prevent any data disclosure, confidentiality analysis is done using the Statistics Canada Generalized Disclosure Control System (G-Confid). G-Confid is used for primary suppression (direct disclosure) as well as for secondary suppression (residual disclosure). Direct disclosure occurs when the value in a tabulation cell is composed of or dominated by few enterprises while residual disclosure occurs when confidential information can be derived indirectly by piecing together information from different sources or data series.

Data accuracy

CV's generally below 10%.

Documentation

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