Featured datasets
All of our open datasets are available for you to use for free.
FOOD.GOV.UK uses cookies to make the site simpler. Find out more about cookies
All of our open datasets are available for you to use for free.
Food and You 2 Survey: Wave 3 data tables, abridged dataset and data user guide. Data were collected between 28th April 2021 and 25th June 2021. Tables are provided for England, Wales and Northern Ireland combined and separately. A more detailed dataset (SPSS) will be uploaded to the UK Data Service.
Food and You 2 Survey: Wave 4 data tables, abridged dataset and data user guide. Data were collected between 18th October 2021 and 10th January 2022. Tables are provided for England, Wales and Northern Ireland combined and separately. A more detailed dataset (SPSS) will be uploaded to the UK Data Service.
Food and You 2 Survey: Wave 5 data tables, abridged dataset and data user guide. Data were collected between 26th April and 24th July 2022. Tables are provided for England, Wales and Northern Ireland combined and separately. A more detailed dataset (SPSS) will be uploaded to the UK Data Service.
Project to understand the consumer perception of Manuka honey.
The National Diet and Nutrition Survey Rolling Programme (NDNS RP) is a continuous cross-sectional survey, designed to assess the diet, nutrient intake and nutritional status of the general population aged 1.5 years and over living in private households in the UK. Boosted samples were gathered in Years 1-4 (2008/09-2011/12) and Years 6-9 (2013/14-2016/17) in order to achieve representative data for Northern Ireland and enable comparisons to be made with UK results.
Surveying public awareness of food safety and the risks of eating rare burgers.
This dataset contains the results of a survey carried out by Ipsos MORI in March 2021. UK consumers were asked questions about their consumption patterns, handling, cooking and storage habits with respect to coated frozen chicken products.
This was a randomised cross-over trial that investigated whether common extrinsic factors, such as exercise and sleep deprivation can modulate the threshold of responses to allergenic foods in a representative group of adults from the peanut allergic population.
This model was generated as part of FSA-funded research project FS301062. The model includes a collection of thermal stability data on Hepatitis E virus (HEV) in the published literature and generated by the contractors. The model uses these data in different matrices such as food, saline and plasma to predict the impact of different time-temperature treatments on HEV titres. The model is constructed in R, and uses a Shiny app within RStudio.
Appendices for the "What is the burden of AMR genes in selected ready to eat foods?" report. This study estimated the diversity of antimicrobial resistance (AMR) genes in 52 simple ready-to-eat (RTE) foods, including milk, tomatoes, bananas, cheese, and ham.