Food Standards Agency Data

Data Catalog

Displaying datasets 21 - 37 of 37 in total

Food and You 2 Survey: Wave 2

Food and You 2 Survey: Wave 2 data tables, abridged dataset and data user guide. Data were collected between 20th November 2020 and 21st January 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.

Research

Dataset

Dataset

Food and You 2 Survey: Wave 3

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.

Research

Dataset

Dataset

Food and You 2 Survey: Wave 4

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.

Research

Dataset

Dataset

Food and You 2 Survey: Wave 5

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.

Research

Dataset

Dataset

Food and You 2 Survey: Wave 6

Food and You 2 Survey: Wave 6 data tables, abridged dataset and data user guide. Data were collected between 12th October 2022 and 10th January 2023. 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.

Research

Dataset

Dataset

Food and You Survey

Links to the Food and You Survey - Background Information, Dataset and User Guides, Wales, Northern Ireland and Combined results.

consumer survey Research

Dataset

Dataset

Identifying Activist Consumers of Food

Survey identifying key behaviours and attitudes towards food, how and who is actively engaging / influential within food conversations about sustainability and affordability.

consumer survey Research

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Dataset

Kitchen Life 2

Kitchen Life 2 is a behavioural research project that used video capture to understand real-life behaviour in household and business kitchens. This dataset includes information about the kitchens that took part in the research, all of the time-stamped coded variables from the video footage, and temperature data (captured from fridge and freezer thermometers).

Dataset

Dataset

National Diet and Nutrition Survey: Years 5-9

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.

Research

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Dataset

Nutrition and Dietary Health

The National Diet and Nutrition Survey estimates food consumption, nutrient intake and nutritional status of the general population aged 18 months upwards living in the UK.

Dataset

Dataset

TRACE study: The effect of extrinsic factors on food allergy

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.

allergy Research

Dataset

Dataset

Thermal Inactivation Model for Hepatitis E Virus

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.

Dataset

Dataset

Understanding Consumer Needs Around Food Labelling

Research to gather evidence from consumers in Northern Ireland about their understanding of retail food labelling information when purchasing food, how this influences their behaviour, and their concerns and priorities around labelling information.

Dataset

Dataset
Displaying datasets 21 - 37 of 37 in total
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