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All (24,330) (30 to 40 of 24,330 results)

  • Table: 34-10-0163-01
    Geography: Canada, Province or territory
    Frequency: Quarterly
    Description: This table contains 1812 series, with data for years 2009 – 2018 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (14 items: Canada; Newfoundland and Labrador; Prince Edward Island; Nova Scotia; New Brunswick;… ) Prices (3 items: Current prices; 2017 constant prices; Chained (2017) dollars) Sector (4 items: Total all sectors; Business sector; Government sector; Non-profit institutions serving households sector) Flows and stocks (3 items: Investment; Geometric depreciation; Geometric end-year net stock) Assets (7 items: Total assets; Total non-residential; Non-residential buildings; Engineering construction; ...).
    Release date: 2024-05-31

  • Table: 25-10-0015-01
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description: Electricity generation by class of electricity producer (electric utilities, electricity producers, industries, etc.) and type of electricity generation (hydroelectric, combustible fuels, wind, etc.). Data are presented at the national and provincial levels, however not all combinations are available.
    Release date: 2024-05-31

  • Table: 25-10-0016-01
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description: Generation, receipts and deliveries of electric power, including deliveries and receipts to and from other provinces, as well as the United States. Data are presented at the national and provincial levels, however not all combinations are available.
    Release date: 2024-05-31

  • Table: 25-10-0036-01
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description: Data presented at the national and provincial levels for the supply of processing plant products, including propane, butane, ethane and sulphur. Not all combinations are available.
    Release date: 2024-05-31

  • Table: 25-10-0045-01
    Geography: Canada
    Frequency: Monthly
    Description: Data presented at the national level by supply and disposition characteristic (supply of coal, coal coke received, etc.).
    Release date: 2024-05-31

  • Table: 25-10-0046-01
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description: Data presented at the national and provincial levels, by coal types and uses (bituminous, sub-bituminous, etc.) and by volume of production and exports. Not all combinations are available.
    Release date: 2024-05-31

  • Table: 25-10-0055-01
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description: Data presented at the national and provincial levels for monthly supply and disposition of natural gas. Not all combinations are available.
    Release date: 2024-05-31

  • Table: 25-10-0063-01
    Geography: Canada, Geographical region of Canada, Province or territory
    Frequency: Monthly
    Description: Supply and disposition characteristics such as production (fuels include heavy crude, synthetic crude, etc.), input to refineries, exports and others. The data are available at the national and provincial levels. Not all combinations necessarily have data for all years.
    Release date: 2024-05-31

  • Table: 25-10-0079-01
    Geography: Canada
    Frequency: Monthly
    Description: Monthly primary and secondary energy by fuel type in terajoules (coal, natural gas, electricity, etc.) and supply and demand characteristics (production, exports, imports, etc.) for Canada.
    Release date: 2024-05-31

  • Table: 25-10-0081-01
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description: Data presented on petroleum and other liquids by supply and disposition characteristics (e.g., production, exports, inventories, products supplied). Not all combinations are available.
    Release date: 2024-05-31
Data (12,017)

Data (12,017) (0 to 10 of 12,017 results)

  • Table: 33-10-0036-01
    Geography: Canada
    Frequency: Daily
    Description:

    This table contains 27 series, with data starting from 1981 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada); Type of currency (27 items: Australian dollar, daily average; Brazilian real, daily average; Chinese renminbi, daily average; European euro, daily average; ...).

    Release date: 2024-06-04

  • Table: 33-10-0163-01
    Geography: Canada
    Frequency: Monthly
    Description:

    This table contains 27 series, with data starting from 1981 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada) Type of currency (27 items: Australian dollar, monthly average; Brazilian real, monthly average; Chinese renminbi, monthly average; European euro, monthly average; ...).

    Release date: 2024-06-04

  • Table: 16-10-0017-01
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description: Lumber, monthly production, shipments and stocks by species; data in thousands of cubic metres.
    Release date: 2024-06-04

  • Table: 16-10-0017-02
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description:

    Lumber, monthly production, by product; data in thousands of cubic metres.

    Release date: 2024-06-04

  • Table: 16-10-0017-03
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description:

    Lumber, monthly shipments, by product; data in thousands of cubic metres.

    Release date: 2024-06-04

  • Table: 16-10-0017-04
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description:

    Lumber, monthly stocks, by product; data in thousands of cubic metres.

    Release date: 2024-06-04

  • Table: 16-10-0017-05
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description:

    Lumber, monthly production, by species, for British Columbia; data in thousands of cubic metres.

    Release date: 2024-06-04

  • Table: 16-10-0017-06
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description:

    Lumber, monthly shipments, by species, for British Columbia; data in thousands of cubic metres.

    Release date: 2024-06-04

  • Table: 16-10-0017-07
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description: Lumber, monthly stock, by species for British Columbia; data in thousands of cubic metres.
    Release date: 2024-06-04

  • Table: 16-10-0046-01
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description: Wood chips, monthly production, shipments and stocks for Canada, British Columbia, British Columbia coast, British Columbia interior and other provinces. The data are in thousands of oven-dry metric tonnes.
    Release date: 2024-06-04
Analysis (9,949)

Analysis (9,949) (9,880 to 9,890 of 9,949 results)

  • Articles and reports: 12-001-X198300114333
    Description:

    The Air Scheduled International Passenger Origin and Destination (ASIPOD) estimation system uses the data from two air traffic surveys to produce origin-destination estimates of international passengers. The “assignment technique” is the solution to the problem caused by the non-coverage of non-interlining traffic. The assumptions of the technique are sufficiently questionable to warrant an evaluation of the bias of the estimates. However, major improvements will be made in the new system which will decrease the bias in the estimates. Also, estimates of reliability will be produced. And as a result, knowledge of the strength of the inferences made with respect to air traffic markets from these estimates will be improved in international bilateral air negotiations.

    Release date: 1983-06-15

  • Articles and reports: 12-001-X198300114334
    Description:

    Statistics Canada, Canada’s central statistical agency, has been compiling national mortality statistics, including those on cancer mortality since 1921. Also, cancer incidence data are available from 1969.

    The data quality of these files may be assessed in a variety of ways. Ratios of cancer mortality to incidence give some information on coverage errors. Micro-data matches between incidence and mortality files give an indication of misclassifications. As well, multiple registrations for cancer incidence may be duplicates. Completeness and availability of data items are also important for special studies.

    In this paper, the feasibility of using these measures of data quality and the implications of these measures are discussed.

    Release date: 1983-06-15

  • Articles and reports: 12-001-X198300114335
    Description:

    The Canadian Labour Force Survey is a household survey conducted each month for the purpose of producing point-in-time estimates of the number of persons employed, unemployed and not in the labor force. The survey has a rotating panel design in which all individuals in a sampled household location are interviewed each month, for six consecutive months. In the past, little use has been made of this longitudinal structure, although considerable interest has been expressed in the month-to-month gross flows (transitions) amongst the labour force status categories. In this paper we discuss methods being considered by Statistics Canada for the production of gross flow estimates, but from a model-based perspective.

    Release date: 1983-06-15

  • Articles and reports: 12-001-X198300114336
    Description:

    The peach, sour cherry and the grape objective yield surveys have been carried out annually in the Niagara Peninsula since 1964 in order to forecast the magnitude of change in marketable fruit production from the previous year. Timeliness of the estimates is essential in order to enable the Ontario Tender Fruit Growers Marketing Board (OTFGMB) and the Ontario Grape Growers Marketing Board (OGGMB) to establish the marketing strategies well ahead of the harvest. This paper summarizes the major changes due to the second redesign initiated in 1982. In particular, the sample design, data collection operation and modifications of the estimation procedures are elaborated upon.

    Release date: 1983-06-15

  • Articles and reports: 12-001-X198300114337
    Description:

    This paper describes the procedures used and results of a joint Canada Centre for Remote Sensing (CCRS) and Statistics Canada project to provide a timely potato acreage estimate for New Brunswick, a major potato producing province in Canada. The project has demonstrated that satellite imagery combined with more traditional potato area estimation procedures can lower respondent burden, produce timely crop distribution maps and produce reliable estimates for subregions.

    Release date: 1983-06-15

  • Articles and reports: 12-001-X198300114340
    Description:

    A theory of sampling on two occasions with unequal probabilities and without replacement is presented. Fellegi’s (1963) method, which yields the same selection probabilities for a given unit on each occasion, is used to select the units for the rotation sample. The variances of composite estimators of the population total on the second occasion are developed. Numerical results are presented for small sample sizes and efficiency comparisons are made with a competing strategy.

    Release date: 1983-06-15

  • Articles and reports: 12-001-X198200114327
    Description:

    The modern statistical survey is an effective method of meeting the ever-increasing demand for timely and accurate data. One important component of the statistical survey is the questionnaire. This article discusses the role of the questionnaire in meeting the needs of users, the relationship of the questionnaire to the other components of survey design, and the effect of the questionnaire on the quality of survey data. The importance of viewing the questionnaire as an integral part of the total survey design is stressed.

    Release date: 1982-06-15

  • Articles and reports: 12-001-X198200114328
    Description:

    Estimates from sample surveys are sometimes required for domains whose boundaries do not coincide with those of design strata. Taking the Canadian Labour Force Survey as an example of a survey utilizing a clustered sample design, some alternative small area estimation techniques available in the literature are evaluated empirically including synthetic, domain (simple and post-stratified) and composite estimators which are linear combinations of synthetic and post-stratified domain estimators. A sample dependent estimator which attaches weight to the post-stratified domain estimate depending on the amount of sample in the domain is proposed and its performance is also evaluated.

    Release date: 1982-06-15

  • Articles and reports: 12-001-X198200114329
    Description:

    This article presents findings from a study to characterize responding and non-responding households in the Labour Force Survey (LFS). This study was motivated by two projects associated with the LFS Redesign, namely, the family estimation project and evaluation of non-response compensation procedures. However, the results of the study are of general interest in the assessment of the quality of data emanating from the LFS.

    Release date: 1982-06-15

  • Articles and reports: 12-001-X198200114330
    Description:

    The paper attempts to evaluate the impact of non-response adjustment by rotation groups on rotation group bias in the estimates from the Canadian Labour Force Survey. Results on bias and non-response characteristics are presented and discussed. An index used to measure rotation group bias is given and some empirical results are analyzed.

    Release date: 1982-06-15
Reference (1,890)

Reference (1,890) (1,880 to 1,890 of 1,890 results)

  • Surveys and statistical programs – Documentation: 7528
    Description: This is not a survey. The DLI Collection contains geography files from 1971 - 2006.

  • Surveys and statistical programs – Documentation: 7529
    Description: The area, production and value data for the Mexican potato crop in this table are provided by the Servicio de Información Agroalimentaria y Pesquera. For further details, please refer to: Servicio de Información Agroalimentaria y Pesquera Av. Benjamin Franklin 146, Col Escandón Delegación Miquel Hidalgo C.P. 11800 México, D.F. E-mail: aclaradatos@siap.gob.mx Telephone: (01552) 55 3871-8500 ext 120-173 Websites: http://www.siap.gob.mx or http://www.siap.sagarpa.gob.mx

  • Surveys and statistical programs – Documentation: 7530
    Description: This is non-Statistics Canada information.

  • Surveys and statistical programs – Documentation: 7531
    Description: This is non-Statistics Canada information.

  • Surveys and statistical programs – Documentation: 7538
    Description: This is non-Statistics Canada information.

  • Surveys and statistical programs – Documentation: 8009
    Description: The survey objective is to validate industry classification codes, and to obtain information required to efficiently select samples for Statistics Canada's economic survey programs. Topics studied include business activity, research and development, and capital expenditures.

  • Surveys and statistical programs – Documentation: 8011
    Description: The Historical Database gathers the data from existing cycles of the General Social Survey (GSS) together in an easily accessed form so that researchers may follow trends in Canadian society over time.

  • Surveys and statistical programs – Documentation: 8012
    Description: These data sets are developed for the purpose of longitudinal analysis of the Census of Agriculture for both Soil Landscapes of Canada and Drainage Area (Watershed) spatial frameworks.

  • Surveys and statistical programs – Documentation: 8013
    Description: The Longitudinal Employment Analysis Program (LEAP) is a database that contains annual employment information for each employer business in Canada, starting with the 1983 reference year.

  • Surveys and statistical programs – Documentation: 8014
    Description: This study will be used to determine which method would be the most effective to select households in Canada for any given survey that is conducted by Statistics Canada.
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