json: {"relationships": {"client": {"data": {"type": "clients", "id": "sage.dplanet"}}}, "attributes": {"partCount": 0, "contributors": [], "versionCount": 0, "titles": [{"title": "Trend 1998 - 2011. Statistics Canada. CANSIM: Construction - Residential Construction | Country: Canada | Table: Capital expenditures on construction, by type of asset and North American Industry Classification System (NAICS) sector | Variable: Bridges, trestles, overpasses (x 1,000,000), Information and cultural industries | Units: $CAD, 1998-2011. Data-Planet\u2122 Statistical Ready Reference by Conquest Systems, Inc.  Dataset-ID: 075-001-037."}], "descriptions": [{"descriptionType": "Abstract", "description": "Statistics Canada (2015). CANSIM: Construction - Residential Construction | Country: Canada | Table: Capital expenditures on construction, by type of asset and North American Industry Classification System (NAICS) sector | Variable: Bridges, trestles, overpasses (x 1,000,000), Information and cultural industries | Units: $CAD, 1998-2011. Data-Planet\u2122 Statistical Ready Reference by Conquest Systems, Inc.  [Data-file]. Dataset-ID: 075-001-037.\n\nDataset: Provides statistics on construction intentions, actual construction, investments, depreciation, and stock for the residential sector in Canada. Topics include: residential permits issued, measured by number of dwellings and value; starts and completions of dwellings; investment data; depreciation; and value of the stock of residential buildings.\nCANSIM is Statistics Canada's key socioeconomic database. The datasets included here provide statistics on the Canadian population, and the nation\u2019s resources, economy, society, and culture. In addition to conducting a Census every five years, approximately 350 active surveys are conducted on virtually all aspects of Canadian life. Statistics are provided for the nation as a whole, provinces, and other subnational geographies where available.\n\n\n\nCategory: Housing and Construction\n\nSource: Statistics Canada\nEstablished as Canada's central statistical office by the Statistics Act of 1985, Statistics Canada is required to \"collect, compile, analyse, abstract and publish statistical information relating to the commercial, industrial, financial, social, economic and general activities and conditions of the people of Canada.\" Its main objectives are to provide statistical information and analysis about Canada\u2019s economic and social structure and to promote sound statistical standards and practices.\nhttp://www.statcan.gc.ca/\n\nSubject: Residential Buildings, Construction Industry, Construction, Capital Expenditures"}], "referenceCount": 0, "subjects": [{"subject": "Residential Buildings"}, {"subject": "Construction Industry"}, {"subject": "Construction"}, {"subject": "Capital Expenditures"}], "container": {}, "state": "findable", "created": "2015-02-20T20:00:10.000Z", "source": null, "metadataVersion": 0, "version": null, "isActive": true, "registered": "2015-02-20T20:00:11.000Z", "contentUrl": null, "geoLocations": [], "updated": "2020-07-27T02:29:06.000Z", "fundingReferences": [], "partOfCount": 0, "viewCount": 0, "versionOfCount": 0, "published": "2015", "dates": [{"date": "2015", "dateType": "Issued"}], "relatedIdentifiers": [], "reason": null, "rightsList": [{"rightsUri": "http://homepage.data-planet.com/terms-use", "rights": "subscription resource"}], "schemaVersion": "http://datacite.org/schema/kernel-3", "types": {"resourceType": "DataSheet", "ris": "GEN", "resourceTypeGeneral": "Other", "bibtex": "misc", "citeproc": "article", "schemaOrg": "CreativeWork"}, "publisher": "Data-Planet\u2122 Statistical Ready Reference by Conquest Systems, Inc.", "publicationYear": 2015, "doi": "10.6068/dp14ba893123b98", "language": "en", "sizes": [], "url": "http://statisticaldatasets.data-planet.com/dataplanet/Datasheet_DOI_Servlet?ID=14ba893123b98&type=datasheet&version=1", "identifiers": [], "citationCount": 0, "formats": [], "downloadCount": 0, "creators": [{"affiliation": [], "name": "Statistics Canada"}]}, "type": "dois", "id": "10.6068/dp14ba893123b98", "timestamp": 1595809746}