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The Apparent Consumption of Selected Foodstuffs, Australia, 2018–19 (cat. no. 4316.0) is designed to provide trend information on foodstuffs purchased through food retail outlets. This publication is the first in this series, with a second publication scheduled for December 2020 to provide data for the 2019–20 financial year.
Over time, the data will provide insights to the changing nature in the food supply and food consumption preferences. Although these estimates cannot tell us about the patterns of particular population groups (e.g. by age and sex) it will facilitate the ongoing monitoring of food consumption, which has been a key data gap between the infrequent (yet more detailed) national nutrition surveys (1995 NNS, 2011–12 NNPAS).
The data are expected to facilitate analyses of a range of issues including monitoring dietary risk factors such as particular discretionary foods or foods regarded as providing health benefits. It will also provide broad estimates of nutrients available from consumed foods and the proportion of energy being derived from macronutrients such as fat (including type of fats), carbohydrate (including added sugars) and protein. While alcohol (ethanol) is also a macronutrient supplying energy, alcohol beverage consumption is out of scope in these estimates as it is not available in the scanner data provided to the ABS.
The Apparent Consumption of Selected Foodstuffs, Australia, 2018–19 (cat. no. 4316.0) was compiled using ABS and non-ABS data sources (see Explanatory Notes) from varying reference periods based on availability and quality. The baseline year of the imputation (adjustment) to account for non-major supermarkets is 2015–16 (financial year).
Data for the Apparent Consumption of Selected Foodstuffs, Australia, 2018–19 (cat. no. 4316.0) were obtained mainly from industry, with additional data sourced from other ABS collections. Industry data (scanner data), while considered comprehensive, have varying degrees of detail for foods which can impact on coding accuracy. A coding weighting adjustment has been applied to adjust for the food items (value and quantity) that were unable to be coded. The indirectly estimated measures used to quantify the food and beverages available for consumption that are not captured by the major retailers in the SD are based on household expenditure data. These estimates are are subject to sampling error. Both adjustments used to complement the SD data are subject to assumptions and have known limitations. For more information please see Explanatory Notes.
As this publication is the first in a new series from a novel data source, there may be future improvements to the methodology and revisions of coding to improve data accuracy. To ensure the time-series maintains comparability, such changes may result in revisions of estimates from this release and any updates will be flagged in future releases.
Foods and non-alcoholic beverages in the Apparent Consumption of Selected Foodstuffs, Australia, 2018–19 (cat. no. 4316.0) are defined primarily using the 2011–13 AUSNUT database which was developed for the 2011–13 Australian Health Survey. In addition to providing an established food classification, AUSNUT contains comprehensive nutrient data for each food and links to other established metadata including information about the amounts of Australian Dietary Guidelines (ADG) Five Food Groups within any food. This alignment means that conceptually the data can be used for similar food and nutrient analyses as a national nutrition survey. There are however important differences which should be considered due to the differing nature of foods as purchased (scanner data ) and food as eaten (nutrition surveys). This conceptual difference in addition to the narrower scope of the collection (i.e. excluding foods from restaurants, cafes and takeaway sources and the exclusion of alcoholic beverages) means caution should be used in making comparisons to results from the 2011–13 Australian Health Survey.
The Main Findings section provides extensive analysis and commentary. This section uses commentary and graphs to guide reader understanding and interpretation of the detailed data tables. The Explanatory Notes provide further guidance on the data used; along with links to supporting information and publication in addition to the concepts, methodologies and data sources.