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Name: ABS_Canola_2019_20_SA2
Display Field: sa2_name_2016
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Description: <div style="text-align:Left;">
<p>This dataset presents information from <a href="https://www.abs.gov.au/statistics/industry/agriculture/canola-experimental-regional-estimates-using-new-data-sources-and-methods/2019-20-financial-year" target="_blank">Canola, experimental regional estimates using new data sources and methods, 2019-20 financial year</a> by <a href="https://www.abs.gov.au/ausstats/abs@.nsf/lookup/by%20subject/1270.0.55.001~july%202016~main%20features~statistical%20area%20level%202%20(sa2)~10014" target="_blank">Statistical Areas Level 2 (SA2s), 2016</a>, from the Australian Statistical Geography Standard (ASGS) Edition 2.</p></br>
<p>The Australian Bureau of Statistics (ABS) partnered with industry and other stakeholders to co-design methods to produce agriculture statistics using new data sources. Traditionally, <a href="https://www.abs.gov.au/statistics/industry/agriculture/agricultural-commodities-australia/2019-20" target="_blank">agriculture area and production statistics</a> are produced by the ABS through an annual agricultural survey or a five yearly agricultural census which collects information directly from farm businesses. These experimental canola estimates were an extension of previous experimental work undertaken for producing sugarcane statistics and, together, they demonstrate that these non-survey data sources can produce accurate and more timely statistics at a level of regional detail normally only available from an agricultural census.</p></br>
<p>The 2019-20 experimental estimates of canola production, local value, area grown and business numbers were produced by combining administrative data from the <a href="https://www.agriculture.gov.au/agriculture-land/farm-food-drought/levies/levy-payer-registers/notices/grdc" target="_blank">Grains Levy Payer Register</a> with satellite derived crop mapping from <a href="https://digitalagricultureservices.com/" target="_blank">Digital Agriculture Services</a>. More information on the method and approach can be found <a href="https://www.abs.gov.au/statistics/industry/agriculture/canola-experimental-regional-estimates-using-new-data-sources-and-methods/2019-20-financial-year" target="_blank">here</a> and feedback to further refine it is welcomed via email: <a href="mailto:agriculture.statistics@abs.gov.au">agriculture.statistics@abs.gov.au</a>.</p></br>
<p>Data points of ‘less than 5’ in the original data have been converted to blank cells as part of the web service production process due to the need for web service data to be integers only, whilst continuing to suppress any values less than 5. The original data containing ‘less than 5’ annotations can be accessed <a href="https://www.abs.gov.au/statistics/industry/agriculture/canola-experimental-regional-estimates-using-new-data-sources-and-methods/2019-20-financial-year" target="_blank">here</a>.</p>
<br /><p><b>Made possible by the Digital Atlas of Australia</b> <br /><a href="https://www.ga.gov.au/scientific-topics/national-location-information/digital-atlas-of-australia" target="_blank">The Digital Atlas of Australia</a> is an Australian Government initiative being led by Geoscience Australia. It will bring together trusted datasets from across government in an interactive, secure, and easy-to-use geospatial platform. The Australian Bureau of Statistics (ABS) is working in partnership with Geoscience Australia to establish a set of web services to make ABS data available in the Digital Atlas. </p>
<p><b>Contact the Australian Bureau of Statistics (ABS) </b> <br />If you have questions, feedback or would like to receive updates about this web service, please email <a href="mailto:geography@abs.gov.au">geography@abs.gov.au</a>. For information about how the ABS manages any personal information you provide view the <a href="https://www.abs.gov.au/about/legislation-and-policy/privacy/privacy-abs" target="_blank">ABS privacy policy</a>.</p>
<p><b>Data and geography references </b> <br />Source data publication: <a href="https://www.abs.gov.au/statistics/industry/agriculture/canola-experimental-regional-estimates-using-new-data-sources-and-methods/2019-20-financial-year" target="_blank">Canola, experimental regional estimates using new data sources and methods</a> <br />Geographic boundary information: <a href="https://www.abs.gov.au/ausstats/abs@.nsf/lookup/by%20subject/1270.0.55.001~july%202016~main%20features~statistical%20area%20level%202%20(sa2)~10014" target="_blank">Australian Statistical Geography Standard (ASGS) Edition 2</a> <br />Further information: <a href="https://www.abs.gov.au/methodologies/canola-experimental-regional-estimates-using-new-data-sources-and-methods-methodology/2019-20-financial-year" target="_blank">Canola, experimental regional estimates using new data sources and methods methodology</a> <br />Source: <a href="https://www.abs.gov.au/" target="_blank">Australian Bureau of Statistics (ABS)</a> </p>
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