Consumer Insights Tracker: Technical report

Introduction

The Consumer Insights Tracker is the Food Standards Agency’s (FSA) tracking survey that monitors changes in consumers’ behaviour and attitudes in relation to food. Fieldwork is conducted on a monthly basis. 

This technical report presents methodological details on the Consumer Insights Tracker; including how data is collected and analysed. It also provides information on the strengths and limitations of the methodology, to support interpretation of the data. 

Overview of methodology 

The Consumer Insights Tracker is conducted using a bespoke online survey approach, administered to members of the YouGov Plc UK panel. Fieldwork takes place monthly, typically during the first week of the month and lasting around 5 days in total. Approximately 2,000 adults (aged 16 years and older) across England, Wales and Northern Ireland participate in the survey each month. This includes a pilot of around 100 responses for each wave. Respondents are excluded from taking the survey again for 6 months. The questionnaire completion time is approximately 10 minutes. The questions remain broadly consistent for each wave, although questions can be added/ removed as needed. Respondents are provided an incentive, in the form of points credited to their YouGov account, upon completion of the survey. Findings are summarised by YouGov into a PowerPoint report and shared with the FSA. The FSA publishes findings on the Consumer Insights Tracker webpage and makes data tables available on the FSA’s data catalogue.

History of the Consumer Insights Tracker

In April 2020 the FSA established a new monthly survey (the COVID-19 Tracker) to monitor consumers’ attitudes and behaviour during the COVID-19 pandemic. This survey was designed to provide more regular and timely insights than the FSA’s biannual official statistic survey, Food and You 2. In April 2022 the survey was renamed the Consumer Insights Tracker. This version of the Consumer Insights Tracker ran from April 2022 to June 2023. Further details are available via a separate webpage. 

YouGov were appointed as the supplier of the Consumer Insights Tracker from July 2023. At this time, the FSA also took the opportunity to review the survey design and methodology for the Consumer Insights Tracker and the survey was relaunched in August 2023, following an independent review of the survey’s methods and content. 

Due to a change in supplier and changes made to the survey design by the FSA, data collected from the two suppliers pre-and-post July 2023 should not be directly compared. A summary of the key changes are provided in Table 1. 

Table 1: Changes to survey methodology

Questionnaire design

Each wave of the survey is designed through collaboration between the FSA project team and YouGov. The survey asks respondents about their attitudes and behaviours in relation to a range of food-related topics that are of strategic interest to the FSA. This includes consumers’ concerns about food-related issues, perceptions of the food supply chain, and attitudes and behaviours relating to food affordability and availability. The survey is designed to be flexible so it can respond to topical or emerging issues, so although a core set of questions are asked each month, new questions can be added as new evidence needs arise. The survey is cross-sectional and offers a snapshot of time, with the findings for each wave reflecting the context at the time. Thus, it is important to reflect on the wider context when interpreting the findings for each wave.

Demographic information is already held by YouGov, so does not need to be part of the questionnaire. An example of the survey questionnaire is available in Annex 1, and additional survey scripts are available on request from the FSA Social Science team.

Survey questions are written using plain English and neutral phrasing to reduce bias and encourage participation. The survey is structured in a way that flows logically, with similar topics grouped together, to reduce respondent fatigue. Questions that are sensitive in nature, which may incite an order effect  ^{(footnote 1)}, or which relate to respondent demographics, are placed at the end of the survey where possible. Questions with multiple response options have their response options randomised so that the order these are presented does not affect how respondents answer. The same is done with the randomisation of questions that form question grids ^{(footnote 2)}. Additional questions are also included in the survey to check for ‘straight lining’ ^{(footnote 3)}, as well as attention check questions to ensure that respondents are truly engaged in the survey rather than providing random responses.

Each month, the questionnaire is reviewed by the FSA project team. Any new questions or amendments to existing questions are developed by the FSA project team in collaboration with stakeholders at the FSA. Where possible, existing and cognitively tested questions (for example, from Food and You 2) are used to help design new survey questions. Once agreed they are sent to YouGov where they are reviewed by at least two experienced researchers, including at least one senior member responsible for sign-off. See the ‘Quality Assurance’ section for further information about quality assurance in place for the survey design.

Pilot study 

The online survey is piloted with approximately 100 respondents each month, before main fieldwork commences. This is to assess the respondent’s understanding of the questions, the survey logic, programming and the overall length of the survey. Once the pilot is completed any amends to the survey are made before main stage fieldwork. 

Sampling approach

All respondents who take part in the survey are drawn from the YouGov panel of over 400,000 active panel members who live in the UK. YouGov maintains an engaged panel of respondents who have specifically opted-in to participate in online research activities. This includes actively recruiting hard-to-reach respondents, such as younger people and those from ethnic minorities, via a network of partners with access to a wide range of online sources that cater to these groups. These partners have specific experience in recruiting these audiences for online activities. The sources include search engine optimization (SEO), affiliate networks, niche websites, and growth hacking techniques such as panellist refer-a-friend campaigns and social networks. All recruitment sources, for hard-to-reach audiences or anyone else, are monitored to ensure that respondents are always profiled, responsive and engaged in the survey experience.

The YouGov panel is large enough to select nationally representative samples that reflect the actual breakdown of the population on the key demographics of age, gender, region, social grade and education level.

At the start of the project a nationally representative sample of people in England, Wales and Northern Ireland was constructed. To qualify for the survey respondents needed to meet two criteria:

• Be aged 16+ years of age
• Live in England, Wales or Northern Ireland  ^{(footnote 1)}

Each month, eligible panellists (see further details below on sampling) are sent an email inviting them to take part. Only panellists who are invited can participate in the survey, and individuals can only respond once each time they are invited. Participants are given a brief introduction to the survey before responding. They are not made aware that the survey is being conducted on behalf of the FSA.

The sampling approach used for the Consumer Insights Tracker is quota sampling, with quotas taken from the 2021 Census. Quota sampling is a non-probability sampling method that involves dividing the population into sub-groups. The relative proportion of each sub-group as a percentage of the total sample is based on known characteristics of the overall population. Responses are collected until the ‘quota’ for each sub-group is reached. This is a standard sampling approach used in online panel surveys to capture a representative population. The sample for the Consumer Insights Tracker is structured to be representative of the England, Wales and Northern Ireland population by the following variables:

• Age
• Gender
• Social grade
• Region
• Education level

A sample boost is also applied in Northern Ireland (to achieve 100 respondents), to improve the representation of this group and to enable rudimentary demographic comparisons between countries. An exclusion criterion is also applied to the sample, which prevents any respondents from participating in the survey if they have done so in any of the six previous waves.  

Sample size and weighting

The overall sample size for each wave is approximately 2,000. This sample size is sufficient to ensure that robust analysis can be conducted across various demographic sub-groups. It also ensures that margins of error within survey results are minimised, enabling statistically significant variations to be identified across and within waves.

Weights are applied to the data to make it more representative of the population of England, Wales and Northern Ireland.  Weighting involves adjusting the contribution of individual respondents to ensure it is given the correct relative influence based on the demographics of the target population. Data from the 2021 UK Census from the Office for National Statistics is used to do this, with weighting applied according to gender, age, education level, region, and social grade. Weighting on these variables is common practice across similar surveys of this nature, as it ensures that the data is representative of the target population, while also maximising weighting efficiency.

Random Iterative Method (RIM) weighting is used. RIM is used when there are a number of different standard weights that all need to be applied together. This weighting method calculates weights for each individual respondent from the targets and achieved sample sizes for all the quota variables. RIM weighting is an iterative process, whereby it recalculates the weights several times until the required degree of accuracy is reached. All weights are capped at six, and a weighting report is produced for each wave. The advantage of using a RIM weighting approach is that the weighting can include a greater number of variables, and it is not necessary to have targets for all the interlaced cells.

Weighting is applied at the end of the data processing phase on cleaned data (see the Quality Assurance section for further details on data cleaning).  

Table 2 provides an example of how data is weighted from the March 2024 wave of the survey. The unweighted base shows the number of completed surveys and the weighted base shows the adjustments that have been made to correct for any sample bias.

Table 2:  Demographic variables and their weightings 

Data analysis 

The data analysis process used focuses on univariate and bivariate quantitative analysis. Analysis for each question is conducted at the overall sample level, as well as across key demographic groups, using the weighted data. Analysis of changes across waves, as well as differences between demographic groups, are only reported when these differences are statistically significant (discussed further below).

Index of Multiple Deprivation (IMD) is one of the demographic factors calculated and reported for England, Wales and Northern Ireland. IMD is calculated using country-specific metrics, and then combined to give an overall measure of relative deprivation within a respondent’s specific region. 

• England: The IMD ranks each English LSOA from 1 (most deprived) to 32,844 (least deprived).
• Wales: The Welsh equivalent (WIMD) ranks each Welsh LSOA from 1 (most deprived) to 1,909 (least deprived).
• Northern Ireland: The NI equivalent ranks each OA from 1 (most deprived) to 5,022 (least deprived).

Statistical reliability and confidence intervals

As only a sample of the population, rather than the entire population, is surveyed each month, the results are subject to sampling tolerances, which vary with the size of the sample and the percentage figure concerned. For example, for a question where 50% of participants in a (weighted) sample of 2,000 respond with a particular answer, the chances are 95 in 100 that this result would not vary more than 2.2 percentage points, plus or minus, from the result that would have been obtained from a census of the entire population (using the same procedures). 

Table 3 provides a useful rule of thumb when judging the statistical significance of the figures contained in the final dataset.

Table 3:  Confidence intervals for a sample of n=2,000 for various results 

Reporting 

The FSA project team work closely with YouGov each wave to identify results of strategic importance for the FSA. Toplines typically focus on new/emerging issues, significant changes in findings over time, an overview of each topic from the Consumer Insights Tracker (e.g. food availability, food insecurity, consumer concerns) and key demographic differences of interest. Findings also consider key demographic groups of interest to the FSA, particularly when they indicate a significant difference to the total survey population. Changes over time, or between demographic groups, are only reported when they are statistically significant using t-tests ^{(footnote 1)}, at p<0.05. This helps to ensure that only ‘true’ shifts in behaviour and attitudes are focused on in the report (i.e. they are unlikely, 5% or less, to be a result of chance).

The data for this project and other research that the FSA undertakes can be found on the FSA’s website, and in particular via the FSA data catalogue. 

Participant verification and engagement

Several checks are applied to ensure the quality of survey data. Checks for participant identification and authentication are conducted during panel registration, and through an initial welcome survey. Some of these checks include:

• IP checks, including IP blacklists – checks on respondent’s IP addresses to ensure they have not been blacklisted from completing surveys.
• Digital fingerprinting – information collected about the software and hardware of a device for the purpose of identification.
• Double keying on panel registration and login – used to check for respondent errors in data entry.
• Email address verification, and testing for uniqueness – prevents respondents from signing up to the YouGov panel using multiple accounts.
• Contact detail de-duplication – prevents respondents from signing up to the panel using the same contact details multiple times.
• Country validation – checks to ensure that respondents on the UK panel live in the UK.
• Location verification (e.g. post code) – crosschecks respondents against other location metrics to ensure that respondents are not signing up to the panel using erroneous postcodes.
• Machine Learning based cookie checks, and checks against Cookie blacklists – uses browser-based cookies (e.g. to prevent respondents from completing the same survey multiple times).
• Email confirmation and activation code – checks to ensure that respondents are using a valid email address.

Data cleaning and quality checks

Once the survey has closed, respondents that ‘straight line’, fail the attention check questions or have answered under a certain time period  ^{(footnote 1)} are removed from the data. Additionally, inconsistent, incoherent or incomplete responses are removed from the dataset in a process of data cleaning.

The cleaned data is used to produce data tables. The YouGov team carry out a thorough review of the data tables to check for accuracy. This includes:

• Checking that all questions from the survey have been included.
• Checking that the total sample size matches the target sample.
• Checking that base sizes and text for each question are correct.
• Checking that percentages for each question sum to 100% (if single code), and that ‘net’ figures have been calculated correctly.
• Checking that crossbreaks have been calculated correctly.
• Checking that the data has been weighted correctly.
• Comparing data with previous waves and investigating the reasons behind any large shifts in results to ensure they are not the result of data errors.

When outputs are provided to the FSA, the project team also conduct quality assurance checks before data is published; including spot checks against multiple data sources (for example, previous publications and data tables) and significance testing to ensure the same results can be found using alternative methods. Any discrepancies are highlighted and discussed with YouGov. Prior to publication, reports are reviewed and signed-off by at least two researchers at the FSA.

Ethics

YouGov take a number of steps to ensure the highest ethical standards are upheld as part of this survey (these are in line with the GSR ethical assurances for social research). This covers four main items:

1. Informed consent and right to withdraw: Before beginning the survey, respondents are presented with an introduction page explaining the survey topic. This ensures that all participants understand the nature of the survey at the outset and enables anyone who does not wish to continue to voluntarily exit at this point. All panellists have double opted into responding to online surveys. This means that they have agreed to take surveys with YouGov and have then agreed to participate in the Consumer Insights Tracker, when invited. Respondents are able to withdraw from the panel generally at any time and also have the option withdraw from the survey whilst it is in progress. 
2. Accessibility: YouGov takes steps to aid participation through its systems and capabilities by servicing all devices and channels in an accessible way. This includes optimising surveys to be conducted on a range of devices, configuring the way text and image-based questions are displayed to respondents to avoid any accessibility-related issues (e.g. through the use of screen reader support) and using plain, simple language.
3. Avoiding personal harm: YouGov has a duty of care to panellists and steps are taken to avoid causing personal harm. Examples are signposting sensitive topics at the beginning of the survey (if relevant, depending on topics), providing links to trusted support organisations respondents can contact if required, and providing the option to skip or ‘prefer not to say’ to questions relating to sensitive information and/or special category data under the GDPR.
4. Safeguarding personal data: All personal data collected on respondents is anonymised. The data YouGov shares with the FSA is completely anonymous, non-identifiable and only reported at an aggregate level. GDPR principles and other applicable local privacy and security obligations are adhered to by both YouGov and the FSA when conducting this research.

Strengths of approach

The FSA’s project team carefully weigh up the strengths and limitations of all methodologies before deciding the most appropriate methodology for an individual piece of research.

The approach for the Consumer Insights Tracker offers several strengths including:

• Reliable, representative tracking: A large, nationwide online panel, enables data to be gathered that is representative of the population aged 16 years and over in England, Wales and Northern Ireland, to track changes over time and to collect a wide range of demographic information. A boosted sample of 100 is collected in Northern Ireland which allows for the comparison of each country across England, Wales and Northern Ireland.
• Speed of delivery: An online panel approach means that the survey can be administered to participants quickly, particularly in comparison to other modes such as telephone or face-to-face methods. As participants are pre-screened for eligibility for the panel, this means that surveys can be administered quicker than methods that require recruitment and screening processes. In addition, online surveys can be completed at any time of day (according to respondent preference).
• Cost effectiveness: The combination of speedier delivery and a less resource-intensive approach by eliminating the need for human interviewers contribute to online surveys being significantly more cost effective than other survey methodologies. In addition, because YouGov already holds many of the key demographic indicators on panellists, this saves questionnaire space (and therefore survey cost) by not needing to ask these questions.
• Flexibility in survey design: Online surveys provide greater flexibility in terms of the types of questions which can be included. Questions involving images, videos or audio clips can be included, which is not always possible when using a telephone methodology (for example).
• Reduction in certain forms of bias: As online surveys do not require an interviewer to be present, they can help to reduce the effects of social desirability bias among respondents. Sampling bias can also be reduced online, compared to face-to-face approaches, where the interviewer may be more restricted by location when conducting the survey, although other forms of sampling bias may be present in online surveys (see limitations below). Additionally, using a bespoke survey approach means respondents are only asked the questions in the Consumer Insights Tracker, reducing certain types of bias associated with approaches where respondents are asked to complete multiple surveys.  
• Exclusion period: Participants are excluded from taking the survey again for 6 months. Having a long exclusion period means they are less likely to become familiar with survey questions, or to experience survey fatigue. It also allows up to 6 months of data to be combined, to provide a large base size for further analysis opportunities without the risk of duplicated participants.

Limitations of approach 

Some of the limitations of the approach include:

• Opt-in sampling bias: Panellists on opt-in panels can be more engaged in current issues, which means they are more motivated to opt-into panel surveys. This means precise measures for some attitudes and behaviours reflecting the total population can be difficult to obtain. It is therefore beneficial to regularly validate and compare the results of online opt-in surveys using more robust methodologies such as random probability surveys. The FSA often use multiple methodologies to understand the complexities of a single topic.
• Representation: Some groups are underrepresented in online opt-in panels. This is particularly true of those who do not have internet access (who are excluded) or those who are not comfortable going online, who also tend to be older and in lower socio-economic groups. Additionally, young working-class men are difficult to reach across many methodologies, including opt-in online panels. These issues can be remedied in part through quotas and weighting, if the groups being underrepresented are identified. Other methodologies, such as postal or face-to-face surveys, can be more suitable when capturing the views of those who are digitally excluded, but these methodologies typically take longer to deliver and are more expensive. 
• Topics and complexity: Online surveys, and in general surveys that are self-administered, are useful for an overall read on issues or for exploring topics that are well understood by respondents. However, it becomes more difficult to explore in depth, complex issues where respondents do not have a good understanding of the topic. Such topics can benefit from an interviewer who can provide explanations or are better explored through qualitative research.
• Detailed demographic analysis: Due to sample size, it is not always possible to review detailed demographic cross-breaks, such as region or granular details of income with the Consumer Insights Tracker which has a sample of approximately 2,000 per month. This only allows for analysis by broad demographic characteristics such as gender, age group, income group, or the presence of children in the household. However, by combining six months of data, a sample size of 12,000 is created. This greater sample size increases the number of individuals of each demographic cross-break, thus allowing the comparison of those that do not meet the required number in the monthly figures.

Annex 1: Example survey questionnaire 

Base: All
Question type: Single
#row order: reverse

[Q2m] To what extent, if at all, are you worried about there not being enough food available for you/your household to buy in the next month?
Please select one answer only
<1> Very worried
<2> Somewhat worried
<3>  Not very worried
<4>  Not at all worried
<5 fixed> Don’t know
<6 fixed> Prefer not to answer

Base: All
Question type: Single
#row order: reverse

[Q3m] To what extent, if at all, are you worried you/your household will not be able to afford food in the next month?
Please select one answer only
<1> Very worried
<2> Somewhat worried
<3> Not very worried
<4> Not at all worried
<5 fixed> Don’t know
<6 fixed> Prefer not to answer

Base: All
Question type: Single

[Q3] In the last month, have you or anyone else in your household received a free parcel of food from a food bank or other emergency food provider?
Please select one answer only
<1> Yes
<2> No
<3> Prefer not to say

Base: All
Question type: Multiple
#row order: randomize

[Q6] In the last month, did any of the following apply to you, or someone else in your household? 
Please tick all that apply.
**I, or someone in my household...   **
<1> Could not afford my essential food shopping    
<2> Could not afford to buy food that meets my animal welfare or environmental values
<3> $hovertext.raw Bought reduced / discounted food close to its use-by-dateA **use-by date** on food is about safety. Foods can be eaten until the use-by date but not after. You will see use-by dates on food that goes off quickly, such as meat products or ready-to-eat salads. Use-by dates are different to best before dates; best before dates relate to food quality not food safety. to save money
<4> Shopped for food in multiple supermarkets / shops to save money
<5> Could not afford to eat a healthy balanced diet    
<6> Cut the size of meals or skipped meals because there wasn’t enough money for food    
<7> Bought less fresh food (e.g. fruit, vegetables, meat) and more long-life foods instead (e.g. tinned or frozen products) to save money
<8> Chose cheaper alternatives rather than branded products to save money    
<9> Cooked/prepared something from scratch, rather than buying it ready-made to save money
<10> Bulked out meals with cheaper ingredients to make food go further or feel fuller for longer
<11> Ate food past its use-by-dateA **use-by date** on food is about safety. Foods can be eaten until the use-by date but not after. You will see use-by dates on food that goes off quickly, such as meat products or ready-to-eat salads. Use-by dates are different to best before dates; best before dates relate to food quality not food safety. because I couldn’t afford to buy more food
<12 fixed xor> None of these
<13 fixed xor> Prefer not to say

Base: All
Question type: Dyngrid
#row order: randomize

[Q8m] In the last month, which, if any, of the following have you done to reduce your energy bills and save money?
Please select one answer for each statement
-[Q8m_1] Used cheaper cooking methods (e.g. using a hob, a microwave, air fryer or slow cooker) instead of an oven to heat or cook food
-[Q8m_2] Reduced the length of time that food is cooked for
-[Q8m_3] Lowered the cooking temperature for food
-[Q8m_4] Turned off a fridge and/or freezer that contains food
-[Q8m_5] Changed the settings so that food in a fridge and/or freezer is being kept at a warmer temperature
-[Q8m_6] Eaten food cold because I could not afford to cook it

<1> Yes, I have done this every week
<2> Yes, I have done this some weeks but not every week
<3> Yes, I have done this just one week in the last month
<4> No, I have not done this in the last month
<5> Don’t know/can’t remember
<6> Prefer not to answer

Base: All
Question type: Dyngrid
#row order: randomize #column order: reverse

[Q12] Thinking about food in the UK in general. At the moment, how concerned, if at all, do you feel about each of the following topics?
Please select one answer only for each statement
-[Q12_1] The ‘healthiness’ of people's diets in general    
-[Q12_2] Food availability/food shortages
-[Q12_3] Animal welfare in the food industry
-[Q12_4] The safety of food produced in the UK
-[Q12_5] The safety of food imported from outside the UK
-[Q12_6] The quality of food produced in the UK
-[Q12_7] The quality of food imported from outside the UK
-[Q12_8] Food prices
-[Q12_9] The sustainability of food and food production
-[Q12_10] Food poverty and food inequality    
-[Q12_11] The information on food labels being accurate (e.g. ingredients, nutritional information, country of origin)
-[Q12_12] Genetically modified (GM) food
-[Q12_13] Ingredients and additives in food
-[Q12_14] Ultra-processed, or over-processing of food

<1> Highly concerned
<2> Somewhat concerned
<3> Not very concerned
<4> Not concerned at all
<5 fixed> Don’t know
<6 fixed> I don’t know enough to comment

Base: All
Question type: Single
#row order: reverse

[Q13] How confident are you in the food supply chain? That is all the processes involved in bringing food to your table.
Please select one answer only
<1> Very confident
<2> Fairly confident
<3> Not very confident
<4> Not at all confident
<5 fixed> It varies
<6 fixed> Don’t know

Base: All
Question type: Dyngrid
#row order: randomize #column order: reverse

[Q14] $hovertext.raw How confident are you that those involved in the food supply chain This includes farmers, manufacturers and shops and supermarkets. in the UK...
Please select one answer only for each statement
-[Q14_1] Ensure that food is safe to eat
-[Q14_2] Ensure there is enough food available for people to eat
-[Q14_3] Ensure there are affordable food options for everyone
-[Q14_4] Ensure that food is of a high quality

<1> Very confident
<2> Fairly confident
<3> Not very confident
<4> Not at all confident
<5 fixed> It varies
<6 fixed> Don’t know

Base: All
Question type: Single
#row order: reverse

[Q14a] How much, if anything, do you know about the Food Standards Agency, also known as the FSA?
Please select one answer only
<1> I know a lot about the FSA and what it does
<2> I know a little about the FSA and what it does
<3> I’ve heard of the FSA but know nothing about it
<4> I hadn’t heard of the FSA until I was contacted to take part in this survey
<5> I’ve never heard of the FSA

Base: All
Question type: Dyngrid
#column order: reverse

[Q15] The Food Standards Agency (FSA) is the Government Agency responsible for food safety in England, Wales and Northern Ireland.
How confident are you that the Food Standards Agency...
Please select one answer for each statement only
-[Q15_1] ...can be relied upon to protect the public from food-related risks (such as food poisoning or allergic reactions from food)?
-[Q15_2] ...is committed to communicating openly with the public about food-related risks?
-[Q15_3] ...takes appropriate action if a food-related risk is identified?

<1> Very confident
<2> Fairly confident
<3> Not very confident
<4> Not at all confident
<5 fixed> Don’t know / Don’t know enough to say

Base: All
Question type: Single

[Q16] The Food Standards Agency (FSA) is the Government Agency responsible for food safety in England, Wales and Northern Ireland. How much do you trust or distrust the Food Standards Agency to do its job? That is to make sure that food is safe and what it says it is.
Please select one answer only
<1> I trust it a lot
<2> I trust it
<3> I neither trust nor distrust it
<4> I distrust it
<5> I distrust it a lot
<6> Don’t know / Don’t know enough to say

Question type: Text
And finally, some demographic questions for our records.
Question type: Pdl

[disability] Are your day-to-day activities limited because of a health problem or disability which has lasted, or is expected to last, at least 12 months?
<1> Yes, limited a lot
<2> Yes, limited a little
<3> No

Question type: Pdl
[mental_issues] Which, if any, of the following types of mental illnesses/disorders have you been professionally diagnosed with? Please select all that apply.
<1> Anger disorder (Intermittent Explosive Disorder)
<2> Anxiety disorder
<3> Attention Deficit Hyperactivity Disorder (ADHD)
<4> Autism spectrum disorder
<5> Bipolar affective disorder
<6> Body dysmorphic disorder
<7> Depression (including postpartum depression)
<8> Dissociative disorder
<9> Eating disorder    
<10> Impulse control disorder
<11> Obsessive-Compulsive spectrum disorders    
<12> Panic disorder    
<13> Paranoid disorder    
<14> Personality disorders    
<15> Phobias    
<16> Post-Traumatic Stress Disorder (PTSD)    
<17> Schizophrenia spectrum    
<18> Other psychotic disorders    
<19> Sexual disorders    
<20> Stress disorder
<21> Substance abuse disorders    
<97 fixed> Other mental disorders
<96 fixed xor> Prefer not to say    
<99 fixed xor> Not applicable - I have not been diagnosed with any mental illnesses

Question type: Pdl
[profile_work_stat] Which of these applies to you?
<1> Working full time (30 or more hours per week)
<2> Working part time (8-29 hours a week)
<3> Working part time (Less than 8 hours a week)
<4> Full time student
<5> Retired
<6> Unemployed
<7> Not working
<8> Other

Question type: Pdl
[profile_marital] What is your current marital or relationship status?
<7> Divorced
<2> In a civil partnership
<5> In a relationship, but not living together
<4> Living with a partner but neither married nor in a civil partnership
<1> Married
<3> Separated but still legally married or in a civil partnership
<6> Single
<8> Widowed

Question type: Pdl
[profile_household_size] How many people, including yourself, are there in your household? Please include both adults and children.
<1> 1
<2> 2
<3> 3
<4> 4
<5> 5
<6> 6
<7> 7
<8> 8 or more
<9> Don't know
<10> Prefer not to say

Question type: Pdl
[profile_education_level] What is the highest educational or work-related qualification you have?
<1> No formal qualifications    
<2> Youth training certificate/skillseekers
<3> Recognised trade apprenticeship completed
<4> Clerical and commercial
<5> City & Guilds certificate
<6> City & Guilds certificate - advanced
<7> ONC
<8> CSE grades 2-5
<9> CSE grade 1, GCE O level, GCSE, School Certificate
<10> Scottish Ordinary/ Lower Certificate
<11> GCE A level or Higher Certificate
<12> Scottish Higher Certificate
<13> Nursing qualification (e.g. SEN, SRN, SCM, RGN)
<14> Teaching qualification (not degree)
<15> University diploma
<16> University or CNAA first degree (e.g. BA, B.Sc, B.Ed)
<17> University or CNAA higher degree (e.g. M.Sc, Ph.D)
<18> Other technical, professional or higher qualification
<19> Don't know
<20> Prefer not to say

Question type: Pdl
[profile_gross_household] Gross HOUSEHOLD income is the combined income of all those earners in a household from all sources, including wages, salaries, or rents and before tax deductions. What is your gross household income?
<1> under £5,000 per year
<2> £5,000 to £9,999 per year
<3> £10,000 to £14,999 per year
<4> £15,000 to £19,999 per year
<5> £20,000 to £24,999 per year
<6> £25,000 to £29,999 per year
<7> £30,000 to £34,999 per year
<8> £35,000 to £39,999 per year
<9> £40,000 to £44,999 per year
<10> £45,000 to £49,999 per year
<11> £50,000 to £59,999 per year
<12> £60,000 to £69,999 per year
<13> £70,000 to £99,999 per year
<14> £100,000 to £149,999 per year
<15> £150,000 and over
<16> Don't know
<17> Prefer not to answer

Question type: Pdl
[profile_household_children] How many of the people in your household are under 18?
<1> 0
<2> 1
<3> 2
<4> 3
<5> 4
<6> 5 or more
<7  if 0> 6 or more
<8> Don't know
<9> Prefer not to say

Question type: Pdl
[profile_household_type] Which of the following, if any, best describes your current living arrangements?
<1> Living with a spouse or partner
<2> Living with friend(s) or housemate(s)
<3> Living with parent(s) or other adult family member(s)
<4> Not living with any other adults
<99> None of these

Question type: Pdl
[bixdemo_mainshopper] Thinking about household grocery shopping, which of the following statements best applies to you?
<1> I am the sole grocery shopper in my household
<2> I am in part responsible for grocery shopping in my household
<3> I am not responsible at all for grocery shopping in my household