Introduction
The Apparent Consumption of Selected Foodstuffs, Australia, 2024–25 is an experimental series intended to provide information on trends in the food consumption and nutritional composition of products available from the food retail sector, a major component of the overall food supply in Australia. The data is complementary to the more detailed information available from national nutrition surveys, but with the advantage of being an ongoing (annual) collection that can be produced in a relatively timely and cost-effective manner. It helps to address a critical data gap relating to food and nutrient consumption required to inform policy makers, regulators, health researchers and the food industry.
The 2024–25 release of the Apparent Consumption of Selected Foodstuffs (ACSF) publication is the sixth release of ACSF since collection was resumed from 2018-19. The previous historic collection of ACSF ceased in 2000 (1998–99 reference year) due to the poor fitness for purpose of previous data sources used for estimating the availability of certain foodstuffs. A review at that time found the costs and complexity of addressing the data quality concerns to be beyond resources available. This release moves the food classification and nutrient data from AUSNUT 2011–13 to AUSNUT 2023. All years from 2018–19 have been recoded to AUSNUT 2023, so the series remains comparable over time, but estimates differ from those previously published. See 'Transition to AUSNUT 2023' below.
The current ACSF concept makes use of aggregate transactions from scanner data (SD) that were originally sourced to improve economic measures such as the Consumer Price Index (CPI). The development of the current ACSF collection was supported and funded by the Department of Health and Aged Care to help inform Australian food nutrition policy and research. The use of sales data to measure apparent consumption is a key difference from the previous ABS Apparent Consumption of Foodstuffs collection which was based on national production plus imports minus exports.
The apparent consumption of selected foodstuff (ACSF) estimates in this publication comprise two components:
- Directly calculated measures of food quantities available for consumption from aggregated sales data provided by the major retailers using SD, and
- Indirectly estimated measures of the food quantities available for consumption that are not captured by the major retailers in the SD, which are based on household expenditure data.
Data sources
Scanner data
The primary data source for this publication is aggregated scanner data (SD) provided to the ABS by the major supermarket chains based on barcode scanning at the point of sale. The aggregate information comprises the Stock Keeping Unit (SKU) of the sales item, a description of the item, the geographical region of sale and weekly aggregate amounts of the quantity and value of the sales. The major supermarkets that provide data to the ABS account for around 78% of the value of sales of the food retail sector (i.e. the total from supermarkets, grocers, convenience stores and specialty food retailers).
2015–16 Household Expenditure Survey
The Household Expenditure Survey (HES) was undertaken every six years until 2015-16 (the most recent HES). ACSF uses the expenditure patterns in the 2015–16 HES to estimate the ratio of expenditure in stores not represented by SD to expenditure from the supermarkets in scope of SD (for a given product category in a given geographical area). Although no comprehensive adjustment (by product type and geographic area) is made to the 2015–16 HES data to align it to the ACSF reference periods, the weighting for each reference period is calibrated for changes in the proportion of total food retail turnover that is accounted for by SD. The adjustments are based on monthly estimates of retail turnover by industry sub-group from Retail Trade. Further information on the use of the HES for adjustment is provided in the 'Estimation' section below.
Scope
The scope for this collection is all food and non-alcoholic beverages purchased for consumption in Australia from the food retail sector. This includes all food and non-alcoholic products assigned to the food and non-alcoholic beverage expenditure classes (ECs) used to compile the CPI with the exception of Restaurant meals and Take-away and fast foods. For the complete list of ECs, see the Annual weight update of the CPI and Living Cost Indexes, Appendix 1.
The 2015–16 HES collected expenditure from households representing about 97% of people in Australia. In expenditure terms, the 2015–16 HES estimated an average weekly expenditure of $237 per household on Food and non-alcoholic beverages. Of this, 34% ($80) was estimated to be on Meals out and fast foods, leaving 66% ($157 in 2015–16) of total food expenditure as in scope in the ACSF.
All in-scope foods are coded to the food classification system in AUSNUT 2023. Food Standards Australia New Zealand (FSANZ) developed it for the 2023 National Nutrition and Physical Activity Survey (NNPAS) and the 2023 National Aboriginal and Torres Strait Islander Nutrition and Physical Activity Survey (NATSINPAS). AUSNUT coding gives the ACSF an established food classification. It also lets SD and HES data be assigned to major food groups and subgroups for analysis. AUSNUT 2023 holds nutrient profiles for each food and non-alcoholic beverage. It links to Australian Dietary Guidelines (ADG) food group profiles (grams and serves of each ADG food group per 100 g) and to a discretionary food flag. Because ACSF and the 2023 NNPAS share one classification, similar high-level analyses (population averages) are possible from both. Important differences remain between foods as purchased (scanner data) and foods as eaten (nutrition surveys).
It should be noted that estimates of 'apparent consumption' of food and non-alcoholic beverage products are derived using information related to sales (that is, food available for consumption from purchases made from the food retail sector). Therefore, they are at best a partial representation of the apparent consumption due to scope limitations (see ‘Out of scope’ below). Furthermore, ‘apparent consumption’ methodologies typically don’t adjust for waste (see below) or changes in household inventories i.e. all food and non-alcoholic beverages available for apparent consumption (purchased) in a particular year are assumed to have been consumed in that year.
Out of scope
While SD (when used with the HES) can represent the majority of the food available for consumption in Australia, there are clear gaps where either SD sales or 2015–16 HES do not adequately capture representative food and non-alcoholic beverage amounts. These are:
- Fast foods, cafe and restaurant meals
- Meals provided by institutions that source food from the non-retail sector
- Home grown or produced food
- Wild foods obtained by gathering/foraging, hunting or fishing.
The exclusions in the HES sample comprise of:
- Very Remote areas
- Residents of non-private dwellings (e.g. hotels, boarding schools, nursing homes and prisons)
- Households containing members of non-Australian defence forces or diplomatic personnel of overseas governments stationed in Australia.
The exclusions associated with the HES survey should have minimal impact on the indirect estimated measures compiled to represent the food quantities available for consumption from the non-major supermarkets not captured in the SD provided to the ABS.
Alcohol
Comprehensive liquor retail sales are not currently available from the source data. Alcoholic beverages are therefore excluded from the alcoholic beverages food group from AUSNUT (code 29). One exception to this classification exclusion is the subset of de-alcoholised beverages (AUSNUT code 296) made up of zero-alcohol beer and wine products. These de-alcoholised beverages are also presented alongside other selected non-alcoholic beverages within the selected beverages presented in Tables 1 and 5 to 14.
Despite the exclusion of alcoholic beverages, Table 2 (nutrients available) and Table 3 (energy from macronutrients) indicate small amounts of alcohol consumption. This results from the alcohol occuring in products such as certain confectionery and desserts.
Waste
The estimates presented in this publication are not adjusted for possible product wastage. The most recent estimate of total organic food wastage in Australia was around 3.1 million tonnes for 2018–19. This is the equivalent of around 340 grams per person per day (or 2.4 kg per week). While it may be expected that all perishable goods will be susceptible to a degree of waste, the waste estimates cannot provide further breakdowns, for instance how much is vegetables and fruits, and how much is baked goods, dairy produce, various meat products etc. Given most discretionary foods are packaged (and have a longer shelf life) they may be less likely to be disposed of than fresh produce. Such an imbalance in waste suggests greater care should be taken in interpreting the apparent consumption of non-discretionary foods and therefore the relative balance between discretionary and non-discretionary foods. In addition, different fresh foods may have different edible proportions (e.g. grapes have a higher edible proportion than pineapple) and no adjustment has been made to subtract the inedible proportion which may lead to further over-estimation of the amount of certain fresh products and nutrients available for consumption.
Geographical coverage
The SD provides aggregate data representing all regions of Australia serviced by major supermarket chains. Estimates in this publication are presented at the national level. While state and sub-state estimates are feasible, they are not included in this release.15 The SD provides aggregate data representing all regions of Australia serviced by major supermarket chains. Estimates in this publication are presented at the national level. While state and sub-state estimates are feasible, they are not included in this release.
Reference period
The current release is the sixth edition in the series and covers the seven years from July 2018 to June 2025. Estimates for periods before July 2024 have been revised to maintain consistent time-series.