Gross Domestic Product by Industry - Provincial and Territorial (Annual)

Detailed information for 2000

Status:

Active

Frequency:

Annual

Record number:

1303

The primary mandate of this statistical program is to compile and disseminate current measures of Gross Domestic Product by industry, at the provincial and territorial level.

Data release - October 30, 2001

Description

The primary mandate of this statistical program is to compile and disseminate current measures of Gross Domestic Product by industry, at the provincial and territorial level.

The growth rates of GDP provide an indication of how well an industry or an economy is doing. The GDP of an industry (also referred to as value added) equals output by the industry minus the value of intermediate inputs that were purchased from other industries, domestic or foreign. Value added is a measure of how much an industry has contributed to the value of its output over and above the value of intermediate inputs. GDP by industry for the economy as a whole is the sum of values added by all industries resident in Canada.

GDP by industry is prepared for 286 industries and subsequently aggregated to some 385 individual industries and aggregates to provide a variety of levels of detail useful for analysis of industrial economic performance while balancing the need to maintain confidentiality protection in smaller provinces and territories.

The GDP by industry measures help macro policy makers in the Bank of Canada, the Department of Finance and provincial governments to monitor the evolution of the provincial and territorial economies, to formulate policies to guide this evolution, and to decide on the timing of their implementation. Industry-specific data also assist private sector analysts at commercial banks and stock brokerages, who need to assess the risks and opportunities associated with doing business in particular industries and provinces.

Statistical activity

The Canadian System of National Accounts (CSNA) provides a conceptually integrated statistical framework for studying the state and behavior of the Canadian economy. The accounts are centered on the measurement of activities associated with the production of goods and services, the sales of goods and services in final markets, the supporting financial transactions, and the resulting wealth positions.

To produce financial statistics, the CSNA measures the economic dimensions of the public sector of Canada, including the financial inter-relationships among the thousands of entities that make up the three levels of government in Canada (federal, provincial and territorial, and local). In order to carry out this program, the CSNA maintains a universe of all public sector entities including their complex inter-relationships.

Provincial and territorial accounts - The System of National Economic Accounts disseminates a wide variety of data at the provincial and territorial level on topics such as the environment, government finance, gross domestic product (GDP) and its components, GDP by industry, tourism and labour productivity.

The Input-Output tables are calculated at the national and provincial and territorial level, but on an annual basis only. They are available about two and half years after the end of the reference year; this is because of the delay in obtaining the needed source data and by the complex nature of producing such a detailed account. As a means of providing more up-to-date information to users for current analysis, two industry-based programs - one producing the country's current monthly GDP figures (record no. 1301), the other annual provincial-territorial estimates (record no. 1303) have been set up. These two programs, which can be viewed as extensions of the I-O tables, use a set of indicators to project the GDP by industry benchmarks from the I-O tables.

Subjects

  • Economic accounts
  • Gross domestic product
  • Input-output accounts

Data sources and methodology

Target population

The target population is all statistical units resident in Canada involved in the economic activity of producing goods and services.

The observed population consists of all establishments in Canada. The establishment is the level at which the accounting data required to measure production is available. The establishment, as a statistical unit, is defined as the most homogeneous unit of production for which a household, business or government maintains accounting records from which it is possible to assemble all the data elements required to compile the full structure of the gross value of production (total sales or shipments, and inventories), the cost of materials and services, and labour and capital used in production.

Instrument design

This methodology does not apply.

Sampling

This methodology does not apply.

Data sources

Data are extracted from administrative files and derived from other Statistics Canada surveys and/or other sources.

The provincial GDP measures rely heavily on a wealth of information from various areas of Statistics Canada. A large amount of information from various survey divisions within the agency, along with other data, is compiled, integrated and analyzed as part of the complex process of arriving at provincial GDP by industry.

For example, data from the Monthly Survey of Manufacturing is used for the manufacturing industries. Data from the Survey of Employment, Payrolls and Hours is used for many services industries.

Error detection

Source data is verified for large year to year percentage changes at the working level industry, the lowest level of industry aggregations for which GDP estimates are compiled directly from the source data, by province and territory.

Imputation

This methodology does not apply.

Estimation

The current price estimates of Gross Domestic Product (GDP) at basic prices (or value added) by industry can be measured directly by summing the factor incomes and depreciation or indirectly by deducting the cost of the intermediate goods and services used in the production process from the value of gross production or output. For any industry, gross output can be described as the total of all costs, intermediate and factor. In some cases, particularly for the non-commercial industries, data on gross outputs are not available and must be estimated indirectly as the sum of total costs.

The provincial production estimates are on a domestic basis, that is, the value of production pertains to that occurring within the geographical boundaries of the provinces and not to the value of production accruing to provincial factors of production regardless of location. The estimates are valued at basic prices (returns accruing to factors of production including subsides and indirect taxes which accrue to production) and are inclusive of depreciation, that is, are on a gross, not net, domestic product basis.

Real price estimates of GDP by industry measure economic growth of industries with the effect of inflation removed. Real measures of GDP by industry are calculated for individual industries and then aggregated to arrive at total provincial economic growth.

For all but the most recent two or three years, the annual estimates of GDP by industry are derived within the framework of the Input-Output tables. For the years following the most recent IO tables, estimates of GDP in these periods are projections that are based on such proxy indicators as output or employment.

Quality evaluation

Data at the working level industry by province and territory is analyzed for time series consistency, links to current economic events, issues arising from the source data and with respect with coherence. As well, the growth rates of total GDP by industry are reconciled with the growth rates of total expenditure based GDP by province and territory (record number 1902).

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.

Revisions and seasonal adjustment

Preliminary estimates are released in the spring following the end of the reference period, and revised in the fall of the same year. The fall release also comprises revisions to the three previous years. Estimates are not normally revised again except when historical revisions are carried out, usually once per decade. Statistical revisions are carried out in order to incorporate the most recent information from surveys, taxation statistics, public accounts, censuses, etc., as well as new methodologies, data sources, concepts or definitions and the annual benchmarking process of the Input-Output Accounts.

Seasonal adjustment is not necessary given that the calculations of GDP by industry at the provincial -- territorial level are only performed on an annual basis.

Data accuracy

The Provincial-territorial GDP by industry depends on the National GDP by industry (record no. 1301) and the Input-Output Tables (record no. 1401) to which it is anchored. The quality of the Provincial-territorial Input-Output Tables is matched where there are high quality projectors of provincial industrial production. When necessary, the provincial-territorial GDP by industry program may be required to use projectors of industrial production which are of lower quality than the underlying GDP from the Provincial-territorial Input-Output tables, in these cases quality of the measure is lessened but still acceptable. As well, the availability of appropriate prices affects the reliability of the real GDP. In general, the higher the level of aggregation, the more reliable are the estimates. There is a trade-off between timeliness and accuracy. As more robust data becomes available, estimates are revised and become more accurate until the benchmark Input-Output Tables are published, two and a half years after the estimates were first published in the Provincial-territorial GDP by industry. Where possible, data from the most recent annual surveys are used when revising Provincial-territorial GDP.

For additional information on data accuracy, please follow the link below.

Documentation

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