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SA4 Agriculture Commodities - Local Value Produced 2015-2016

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Research Data Australia2024-12-14 收录
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https://researchdata.edu.au/sa4-agriculture-commodities-2015-2016/2742834
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This dataset presents final estimates of the local values of agricultural commodities produced in Australia by Statistical Area Level 4 (SA4) from the Value of Agricultural Commodities Produced (VACP) collection derived from the Agriculture Census of 2015-2016. Categories included in VACP are statistics on gross and local values of crops, livestock disposals and livestock products. Local values are calculated by subtracting transport and marketing costs from the gross value. Data is aggregated to 2011 ASGS SA4 boundaries.\n\nThe Agricultural Census is conducted once every five years. The scope of the 2015-16 Agricultural Census was all businesses undertaking agricultural activity recorded on the Australian Bureau of Statistics’ Business Register (ABSBR) above a minimum threshold applied to the estimated value of their agricultural operations. The threshold for the 2015-16 Agricultural Census was all agricultural businesses with an Estimated Value of Agricultural Operations (EVAO) of $40,000 or greater. This is a change from previous ABS Rural Environment and Agricultural Collections, where a EVAO threshold of $5,000 or greater was used. As a result of the change in scope, the estimates from the 2015-16 Agricultural Census will not be directly comparable to previously published Agricultural Censuses or annual Rural Environment and Agricultural Commodity Survey outputs. The 2015-16 Census final estimates are based on the achieved target response rate of 85% from an in-scope population of approximately 103,400 agricultural businesses. \n\nThe estimates in this dataset are based on information obtained from agricultural businesses that responded to the 2015-16 Agricultural Census. However, since not all of the businesses that were selected provided data, the estimates are subject to sampling variability; that is, they may differ from the figures that would have been produced if information had been collected from all businesses. Most published estimates have relative standard errors (RSEs) less than 10%. For some states and territories with limited production of certain commodities, RSEs are greater than 10%. Estimates with an RSE greater than 50% are considered too unreliable for general use and hence have been removed from the data.\n\nThis data is ABS data (catalogue number: 7503.0) used with permission from the Australian Bureau of Statistics.\n\nFor more information on the dataset please visit the [Australian Bureau of Statistics](http://www.abs.gov.au/AUSSTATS/abs@.nsf/Lookup/7503.0Explanatory%20Notes12015-16?OpenDocument).\n\nPlease note: \n\n * Estimates with an RSE value greater than 50% and are considered too unreliable for general use and have been removed from the data\n\n * Where data was not published or not applicable the records have been set to null\n

本数据集基于2015-2016年澳大利亚农业普查所生成的《农业商品产值》(Value of Agricultural Commodities Produced, VACP)汇编资料,呈现了该国按统计区域四级(Statistical Area Level 4, SA4)划分的本地农业商品产值最终估算值。VACP涵盖的类别包括农作物、牲畜处置及畜产品的总产值与本地产值统计数据。本地产值通过从总产值中扣除运输与营销成本计算得出。数据按照2011年澳大利亚地理标准分类(Australian Standard Geographical Classification, ASGS)的SA4区域边界进行聚合。 澳大利亚农业普查每五年开展一次。2015-2016年农业普查的统计范围为澳大利亚统计局商业登记册(Australian Bureau of Statistics’ Business Register, ABSBR)中记录的所有开展农业活动的企业,且其农业经营估算值(Estimated Value of Agricultural Operations, EVAO)达到最低阈值。2015-2016年农业普查的阈值为农业经营估算值达到40000澳元及以上的农业企业。这与澳大利亚统计局此前的农村环境与农业汇编资料存在差异,后者采用的EVAO阈值为5000澳元及以上。由于统计范围的调整,2015-2016年农业普查的估算值无法与此前发布的农业普查或年度农村环境与农业商品调查结果直接对比。2015-2016年普查的最终估算值基于约103400家符合统计范围的农业企业中达成的85%目标响应率。 本数据集的估算值基于对2015-2016年农业普查作出回应的农业企业所提供的信息。但由于并非所有入选企业均提交了数据,因此估算值存在抽样变异性,即其可能与从所有企业收集信息后得出的结果存在差异。多数已发布估算值的相对标准误差(Relative Standard Error, RSE)低于10%。对于部分特定商品产量有限的州和领地,其RSE高于10%。RSE高于50%的估算值被认为可靠性不足,不适用于通用场景,因此已从数据中移除。 本数据为澳大利亚统计局(Australian Bureau of Statistics, ABS)公开数据(目录号:7503.0),已获得澳大利亚统计局授权使用。 如需了解该数据集的更多信息,请访问[澳大利亚统计局](http://www.abs.gov.au/AUSSTATS/abs@.nsf/Lookup/7503.0Explanatory%20Notes12015-16?OpenDocument)。 请注意: * 相对标准误差(RSE)高于50%的估算值被认为可靠性不足,不适用于通用场景,已从数据中移除 * 未发布数据或无适用数据的记录已设为空值
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