New Zealand Retail Sales: Supermarket & Grocery Stores data was reported at 5,067.800 NZD mn in Mar 2018. This records a decrease from the previous number of 5,368.400 NZD mn for Dec 2017. New Zealand Retail Sales: Supermarket & Grocery Stores data is updated quarterly, averaging 3,239.800 NZD mn from Sep 1995 (Median) to Mar 2018, with 91 observations. The data reached an all-time high of 5,368.400 NZD mn in Dec 2017 and a record low of 1,676.300 NZD mn in Sep 1995. New Zealand Retail Sales: Supermarket & Grocery Stores data remains active status in CEIC and is reported by Statistics New Zealand. The data is categorized under Global Database’s New Zealand – Table NZ.H001: Retail Sales: ANZSIC06.

This Australian and New Zealand food category cost dataset was created to inform diet and economic modelling for low and medium socioeconomic households in Australia and New Zealand. The dataset was created according to the INFORMAS protocol, which details the methods to systematically and consistently collect and analyse information on the price of foods, meals and affordability of diets in different countries globally. Food categories were informed by the Food Standards Australian New Zealand (FSANZ) AUSNUT (AUStralian Food and NUTrient Database) 2011-13 database, with additional food categories created to account for frequently consumed and culturally important foods.

Methods The dataset was created according to the INFORMAS protocol [1], which detailed the methods to collect and analyse information systematically and consistently on the price of foods, meals, and affordability of diets in different countries globally.

Cost data were collected from four supermarkets in each country: Australia and New Zealand. In Australia, two (Coles Merrylands and Woolworths Auburn) were located in a low and two (Coles Zetland and Woolworths Burwood) were located in a medium metropolitan socioeconomic area in New South Wales from 7-11th December 2020. In New Zealand, two (Countdown Hamilton Central and Pak ‘n Save Hamilton Lake) were located in a low and two (Countdown Rototuna North and Pak ‘n Save Rosa Birch Park) in a medium socioeconomic area in the North Island, from 16-18th December 2020.

Locations in Australia were selected based on the Australian Bureau of Statistics Index of Relative Socio-Economic Advantage and Disadvantage (IRSAD) [2]. The index ranks areas from most disadvantaged to most advantaged using a scale of 1 to 10. IRSAD quintile 1 was chosen to represent low socio-economic status and quintile 3 for medium SES socio-economic status. Locations in New Zealand were chosen using the 2018 NZ Index of Deprivation and statistical area 2 boundaries [3]. Low socio-economic areas were defined by deciles 8-10 and medium socio-economic areas by deciles 4-6. The supermarket locations were chosen according to accessibility to researchers. Data were collected by five trained researchers with qualifications in nutrition and dietetics and/or nutrition science.

All foods were aggregated into a reduced number of food categories informed by the Food Standards Australian New Zealand (FSANZ) AUSNUT (AUStralian Food and NUTrient Database) 2011-13 database, with additional food categories created to account for frequently consumed and culturally important foods. Nutrient data for each food category can therefore be linked to the Australian Food and Nutrient (AUSNUT) 2011-13 database [4] and NZ Food Composition Database (NZFCDB) [5] using the 8-digit codes provided for Australia and New Zealand, respectively.

Data were collected for three representative foods within each food category, based on criteria used in the INFORMAS protocol: (i) the lowest non-discounted price was chosen from the most commonly available product size, (ii) the produce was available nationally, (iii) fresh produce of poor quality was omitted. One sample was collected per representative food product per store, leading to a total of 12 food price samples for each food category. The exception was for the ‘breakfast cereal, unfortified, sugars ≤15g/100g’ food category in the NZ dataset, which included only four food price samples because only one representative product per supermarket was identified.

Variables in this dataset include: (i) food category and description, (ii) brand and name of representative food, (iii) product size, (iv) cost per product, and (v) 8-digit code to link product to nutrient composition data (AUSNUT and NZFCDB).

References

Vandevijvere, S.; Mackay, S.; Waterlander, W. INFORMAS Protocol: Food Prices Module [Internet]. Available online: https://auckland.figshare.com/articles/journal_contribution/INFORMAS_Protocol_Food_Prices_Module/5627440/1 (accessed on 25 October).
2071.0 - Census of Population and Housing: Reflecting Australia - Stories from the Census, 2016 Available online: https://www.abs.gov.au/ausstats/abs@.nsf/Lookup/by Subject/2071.0~2016~Main Features~Socio-Economic Advantage and Disadvantage~123 (accessed on 10 December).
Socioeconomic Deprivation Indexes: NZDep and NZiDep, Department of Public Health. Available online: https://www.otago.ac.nz/wellington/departments/publichealth/research/hirp/otago020194.html#2018 (accessed on 10 December)
AUSNUT 2011-2013 food nutrient database. Available online: https://www.foodstandards.gov.au/science/monitoringnutrients/ausnut/ausnutdatafiles/Pages/foodnutrient.aspx (accessed on 15 November).
NZ Food Composition Data. Available online: https://www.foodcomposition.co.nz/ (accessed on 10 December)

Usage Notes The uploaded data includes an Excel spreadsheet where a separate worksheet is provided for the Australian food price database and New Zealand food price database, respectively. All cost data are presented to two decimal points, and the mean and standard deviation of each food category is presented. For some representative foods in NZ, the only NFCDB food code available was for a cooked product, whereas the product is purchased raw and cooked prior to eating, undergoing a change in weight between the raw and cooked versions. In these cases, a conversion factor was used to account for the weight difference between the raw and cooked versions, to ensure that nutrient information (on accessing from the NZFCDB) was accurate. This conversion factor was developed based on the weight differences between the cooked and raw versions, and checked for accuracy by comparing quantities of key nutrients in the cooked vs raw versions of the product.

Comprehensive dataset containing 15 verified Filipino grocery store businesses in New Zealand with complete contact information, ratings, reviews, and location data.

Overview: Nutritrack is a database of annually updated information on packaged foods and beverages sold at major supermarkets in New Zealand.Data collection methods: Annual, systematic surveys were undertaken by trained fieldworkers in four supermarket stores in the Auckland region at the same time each year, enabling tracking of labelling, ingredients, and nutrient composition of New Zealand packaged food and beverage products over time, for the years 2013 to 2023 (inclusive).Data quality: Quality checks were undertaken on a random 15% sample of products where data entered in all product fields were compared with source photographs for accuracy. Reports were also run across all products to identify outlier values, ensure complete and correct nutrient data, and maximise consistency of the categorisation of products over time. Data accuracy across critical fields was monitored during and after data collection each year to maximise the accuracy of data collection and entry, and are available in the summary attachment.Data ownership and access: The Nutritrack database is owned and managed by The University of Auckland. The methods may be published if cited appropriately. Access to the data for external research collaborators has now closed. Access to the data for internal collaborators may be available - please contact the principal investigator with inquiries.Further information: Further information on data collection methods and database features is available as an attachment. A sample of the data is also available as an attachment.

Retail Sales Volume: Supermarket & Grocery Stores在2019-12达4,997.200 NZD mn，相较于2019-09的4,490.100 NZD mn有所增长。Retail Sales Volume: Supermarket & Grocery Stores数据按季度更新，1995-09至2019-12期间平均值为3,900.700 NZD mn，共98份观测结果。该数据的历史最高值出现于2018-12，达5,004.200 NZD mn，而历史最低值则出现于1995-09，为2,574.800 NZD mn。CEIC提供的Retail Sales Volume: Supermarket & Grocery Stores数据处于定期更新的状态，数据来源于Statistics New Zealand，数据归类于Global Database的新西兰 – Table NZ.H014: Retail Sales Volume: ANZSIC06。