How to read survey data

Some of our data comes from surveys. Surveys take responses from a sample rather than the whole group.

For example, a survey might ask 10% of parents their opinion on changing the curriculum rather than asking all parents.

The quality of survey data depends on:

  • how people were selected
  • the number of people surveyed (the ‘sample size’)
  • how the questions were asked

Once survey data has been collected and processed, analysts can use techniques to make it more representative or assess how reliable the sample is.

How surveys are completed

The method of a survey can affect the honesty of the answers given, influencing results.

People are usually more honest when completing surveys about sensitive topics without an interviewer present, for example when giving details about smoking or drinking.

People are also more likely to make mistakes when responding to online or paper surveys. This is less likely with face-to-face or phone surveys because people can ask for things to be repeated.

Making survey data more representative

Different techniques can be used to make survey data more representative of the whole group, and to assess the reliability of estimates and differences.

‘Weighting’ adjusts the results of a survey so they better represent the whole group.

A survey of 25 women and 75 men may not reflect the views of the general population (which is 50% men, 50% women).

Analysts can ‘weight’ the results to more accurately represent the split of men and women in the general population.

Survey weights help to make sure the survey sample has broadly the same gender, age, ethnic and geographic proportions as the general population.

Confidence intervals

A confidence interval is a range of values that the 'true' value for the whole group is highly likely to lie within. The estimate is the central point of this range.


Data from 2017 to 2018 showed that 22.4% of all 4 to 5 year olds in England were overweight. This is only an estimate based on a sample of children. The ‘true’ figure was very likely to be between 22.3% and 22.5% – the upper and lower bounds of the confidence interval.

A confidence interval of 95% means if we took 100 random samples, the estimate would fall within its upper and lower bounds 95 times. Confidence intervals of 90% and 99% are also sometimes used.

Using confidence intervals

The wider the confidence interval, the less reliable the estimate. Wide confidence intervals can be the result of small samples, or large variation within survey responses.

Confidence intervals can be used to find out if differences between the statistics for 2 groups are meaningful, for example differences between 2 ethnic groups or 2 time periods.

Differences are meaningful ('statistically significant') if the confidence intervals for the 2 sets of statistics don't overlap, meaning they don't have any values in common. If they overlap, this shows that the difference in the 2 estimates is not meaningful. This means the findings cannot tell us if the difference found in the sample is also shown in the whole population.

Commonly used surveys


The Census of England and Wales is carried out every 10 years. Every household has to complete it.

Around 23.5 million households completed the last Census in March 2011. Find out how we use Census data on our website.

The Annual Population Survey is a continuous household survey which covers the UK. Around 320,000 people aged 16 and over take part.

The topics covered include:

  • employment and unemployment
  • housing
  • ethnicity
  • religion
  • health
  • education


The English Housing Survey is a continuous national survey.

The survey collects information about people’s housing circumstances, and the condition and energy efficiency of housing in England.

Around 13,300 households a year take part.


The Crime Survey for England and Wales asks people about their experiences of crime. It involves a structured interview which usually takes place in respondents' homes.

The types of crime covered include:

  • fraud
  • online crime
  • theft
  • assault

Around 35,000 households take part every year.


The National Travel Survey collects information on how, why, when and where people travel, and things that affect travel, such as access to a car.

Around 16,000 people aged 16 and over in 7,000 households in England take part every year.

Culture, media and sport

The Taking Part Survey collects data on people’s engagement in:

  • art
  • museums and galleries
  • archives
  • libraries
  • heritage
  • sport

Around 8,000 people were interviewed for the 2018 to 2019 survey.