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2 National and state/territory level estimates are presented in this release. Data for Australian Agricultural Environment (AAE) regions will be released as data cubes (Excel xls), compressed (zipped) Excel files and comma separated value (csv) files attached to the publication.
4 Estimates presented in this release are primarily sourced from the 2015-16 Land Management Practices Survey, with some information sourced from the 2015-16 Agricultural Census as well as from non-ABS sources.
6 For the purposes of this survey a business (statistical unit) is identified as undertaking agricultural activity if any of the primary or secondary productive activities of that business fall within the Agriculture Subdivision (Subdivision 01) as defined by the 2006 edition of the Australian and New Zealand Standard Industrial Classification (ANZSIC). For more information, please refer to Australian and New Zealand Standard Industrial Classification (ANZSIC), 2006 (cat. no. 1292.0).
7 The ABSBR is based on the Australian Business Register (ABR). Most businesses and organisations in Australia are required to obtain an Australian Business Number (ABN) from the Australian Taxation Office (ATO) for their business operations. The ABR stores details about businesses and organisations when they register for an ABN.
8 Estimated Value of Agricultural Operations (EVAO) was used to determine whether agricultural business operations were in-scope for the 2015-16 Land Management Practices and Agricultural Census collections. EVAO is an ABS construct used to estimate the relative size of agricultural activity undertaken by a business. Three-year average weighted prices are applied to livestock sales and livestock numbers on the farm, and to area and production data for crops. The resultant aggregation of these commodity values is the EVAO. It is not an indicator of the value of receipts of individual farms (turnover) but rather an indicator of the size or extent of agricultural activity. A three year average weight price is used to minimise the effects of both large movements in commodity prices and seasonal conditions which may otherwise unduly influence a business’ EVAO. For businesses with no previously reported agricultural activity a derived value of operations based on turnover reported in its Businesses Activity Statement (BAS) is used as a proxy.
9 As noted in the publication Agricultural Census: Nature and Content, 2015-16 (cat. no 7100.1), the scope for the 2015-16 Land Management Practices Survey and the 2015-16 Agricultural Census was all agricultural businesses with an EVAO of $40,000 or greater. This is a change from previous ABS Rural Environment and Agricultural Collections, where a scope of EVAO of $5,000 or greater was used. The change in scope better aligns this collection with contemporary definitions of an agricultural business and reduces the overall reporting load for smaller agricultural businesses. It is proposed that only agricultural businesses with an EVAO of $40,000 or greater will be in scope for ABS rural environment and agricultural commodity collections in 2016-17 and beyond.
10 As a result of the change in scope, the estimates from the 2015-16 Land Management Practices Survey will not be directly comparable to previous published Land Management Practices Survey or Rural Environment and Agricultural Commodity outputs. To address this, additional estimates have been produced from a number of rural environment and agricultural commodity collections from 2010-11 to 2014-15, including the 2011-12 and 2013-14 land management practices collections using an EVAO of $40,000 or greater. These estimates are now available at the national, state/territory levels and sub-state levels on the ABS website.
11 The 2015-16 Land Management Practices Survey's final estimates are based on the achieved target response rate of 86.4% from a sample of approximately 33,900 agricultural businesses selected.
13 One measure of the likely difference is given by the standard error (SE) which indicates the extent to which an estimate might have varied by chance because only a sample was taken or received. There are approximately two chances in three that a 'sample' estimate will differ by less than one SE from the figure that would have been obtained if all establishments had responded or been reported for, and approximately 19 chances in 20 that the difference will be less than two SEs.
14 In this publication, 'sampling' variability of the estimates is measured by the relative standard error (RSE) which is obtained by expressing the SE as a percentage of the estimate to which it refers. Most published estimates have RSEs less than 10%. Estimates that have an estimated RSE between 10% and 25% should be used with caution as they are subject to sampling variability too high for some purposes. Estimates with an RSE between 25% and 50% should also be used with caution as they are subject to sampling variability too high for most practical purposes. Estimates with an RSE greater than 50% are considered too unreliable for general use.
15 RSEs for all published estimates are available on request.
17 A hierarchical significance based editing approach to these output estimates is utilised to maximise the effectiveness of editing on the quality of the estimates whilst managing the overall editing load. This approach involves ranking each of the estimates based on their significance relative to other estimates, with higher ranked estimates being investigated further. This targeted approach ensures that editing resources are focussed on the most important anomalies.
18 This hierarchical editing approach does mean that some estimates will have had less editing resource directed to them. A potential consequence of the reduced editing effort is that users may notice inconsistencies when comparing various population totals across different estimate types, especially in the case of smaller estimates and/or finer breakdowns.
20 Where figures have been rounded, discrepancies may occur between sums of the component items and totals.
22 The estimates of these common data items appearing in both the Land Management Practices Survey and the Agricultural Census were not significantly different from each other, however to maintain coherence of land use estimates produced by both surveys, a calibration process was undertaken to align the Land Management Practices estimates to the Agricultural Census estimates.
23 Calibration adjusts a business' weights to ensure estimates of specified common data items align. In the case of the Land Management Practices Survey, the estimated number of agricultural businesses, and the total area of holding sourced from the Agricultural Census were used as the benchmark data items. The estimation weights for the Land Management Practices were adjusted to align estimates for the number of agricultural businesses and total area of holding produced from the Agricultural Census.
25 Final estimates of the gross value of agricultural commodities from the 2015-16 Value of Agricultural Commodities Produced Collection are available in Value of Agricultural Commodities Produced, Australia, 2015-16 (cat. no. 7503.0).
26 ABS publications related to the 2015-16 Agriculture Census can be accessed under the Statistics page on the ABS website. The ABS also issues a daily Release Advice on the website which details products to be released in the week ahead.
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