How to collect ethnicity and language data in public services
Public services across the UK – from policing to healthcare – are under increasing pressure to engage communities more effectively. Yet many organisations still face a fundamental challenge: they don’t fully understand who they are and who they aren’t reaching.
Ethnicity and language data can close that gap. But collecting it incorrectly can damage trust, reduce participation, and undermine your goals. If it’s done well, it becomes one of the most powerful tools for improving service delivery.
Why this data matters more than ever
Ethnicity data is not just a reporting requirement. It’s essential for identifying inequalities and improving outcomes. UK government guidance highlights that high-quality ethnicity data enables organisations to understand disparities and design policies that reduce them.
For example:
- Differences in access to services
- Variations in outcomes across communities
- Gaps in engagement or awareness
Without this data, these issues remain invisible.
Language data is just as critical. In healthcare, language barriers and lack of accessible information are key reasons why ethnic minority groups experience poorer access and outcomes . If people cannot understand your service, they cannot use it – no matter how well designed it is.
The real risk: collecting data without trust
Here’s where many organisations go wrong.
Ethnicity data is classified as sensitive (special category) data under GDPR. That means people are naturally cautious about sharing it – and for good reason.
Research consistently shows that individuals from minority communities may hesitate to disclose personal data due to concerns about how it will be used or misused. If trust is low, response rates drop – and the data becomes unreliable.
In fact, even the UK government notes that how you explain why you’re collecting ethnicity data directly affects engagement and response quality .
In other words: If people don’t trust you, your data won’t work.
What happens when you don’t collect it properly
Failing to collect meaningful ethnicity and language data leads to:
- Services designed for the “average” user – not real communities
- Missed opportunities to engage underrepresented groups
- Biased decision-making due to incomplete data
Even worse, poor-quality data (such as data reported by someone else instead of the individual) is significantly less reliable.
The result? You think you understand your community – but you don’t.
A practical approach: how to collect data without losing trust
To make ethnicity and language data work for your organisation, focus on these four principles:
1. Be clear about the purpose
Explain why you’re collecting the data and how it will improve services. Transparency increases both trust and response rates. Example: “We’re collecting this information to ensure our services are accessible and fair for all communities.
2. Use self-reporting wherever possible
The most accurate data comes directly from individuals, not third parties. This also signals respect. People define their own identity.
3. Make it safe to answer
- Offer a “prefer not to say” option
- Use inclusive, recognisable categories
- Keep questions simple and culturally sensitive
This reduces discomfort and improves data quality.
4. Connect data to action
People are more willing to share information when they see impact.
Show how data leads to:
- Better translation services
- Targeted outreach
- Fairer policies
If nothing changes, trust erodes.
The opportunity for public services
If it’s done correctly, ethnicity and language data can transform how services engage communities. It allows organisations to move from assumption to evidence – designing services that reflect real needs, not guesswork.
But it isn’t just collecting data. It’s collecting it ethically, transparently, and with purpose.
Final thought
The question is no longer whether you should collect ethnicity and language data. The question is whether you’re doing it in a way that builds trust or breaks it.
How Can Changing Suits Help?
People who are ethnically diverse are less likely to participate in data collection and research. Which is why service providers often find themselves struggling to collect sufficient and accurate data.
Changing suits offer a vast range of services that can help you collect data effectively whilst building trust with ethnic communities. Here are the ways we can help you.
- Engagement events with ethnically diverse communities
- Research and data collection service from communities
- Inclusive data strategy
- Staff training
- Data analysis
- Service re-design
- Policy and compliance advisory
To find out more about how best to collect language data and engage minority communities get in touch with us.