Survey of Provincial/Territorial Government Expenditures on Culture

Detailed information for 1997-1998

This survey is conducted in order to gain a better understanding of provincial and territorial government expenditures on culture in Canada.

Data release - October 13, 1999

• Description
• Data sources and methodology

Description

The following is a list of culture sectors included in this survey: 1) national libraries; 2) public libraries; 3) school libraries; 4) university and college libraries; 5) museums; 6) public archives; 7) historic parks and sites; 8) nature/provincial parks; 9) other heritage; 10) arts education; 11) literary arts; 12) performing arts; 13) visual arts and crafts; 14) film and video; 15) broadcasting; 16) sound recording; 17) multiculturalism; 18) multidisciplinary activities; 19) other.

The data from this survey are used by all levels of government for the assessment and development of culture policies and programs. They are also used by a wide variety of national, provincial, territorial, municipal and sectoral arts councils, agencies, advocacy groups, think tanks, arts organizations, institutions and researchers for the assessment and development of cultural policies as well as for resource justification purposes.

Reference period: Fiscal year (between April 1st of the reference year and March 31st of the following year)

Collection period: October to March

Subjects

• Culture and leisure
• Government spending on culture

Data sources and methodology

Target population

Provincial and territorial government departments and agencies responsible for the support of arts and culture.

Instrument design

The collection instrument was designed in consultation with data users and questionnaire design specialists. It was last revised in 1984.

Sampling

This survey is a census with a cross-sectional design.

This methodology does not apply.

Data sources

Responding to this survey is mandatory.

Data are collected directly from survey respondents.

The survey is a mail-out mail-back survey with fax and telephone follow-ups.

Error detection

A series of edits are designed to identify problems with the data. These include consistency and historic range edits which are completed after collection as part of processing.

Imputation

Problems of missing, invalid or inconsistent entries are resolved by contacting the respondents. In some cases, data are not reported about school, university and college libraries because the provinces and territories provide total funding for the institutions, not for the libraries directly. Total spending on these libraries is obtained from surveys on school boards and university and college education expenditures. These data do not show the provincial/territorial contribution to spending on school, university and college libraries. Provincial/territorial funding to these libraries is imputed on the basis of the provincial/territorial share of total revenues of the educational institutions.

Estimation

This methodology type does not apply to this statistical program.

Quality evaluation

In addition to reverse record checks, and historical trend analysis, data sources within and outside Statistics Canada are used to compare, reconcile, and validate the final data output.

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.