When you study Cambridge OCR A Level Sociology, social inequalities are never treated as just random differences between people. Instead, sociology asks you to look for the bigger pattern. Who gets the best opportunities? Who faces the biggest barriers? And why do those inequalities keep appearing across areas of life such as education, income, poverty, mobility, and especially work and employment? That is exactly what this task is about. We are not just looking at whether people have jobs or not. We are investigating whether different ethnic groups experience different chances of getting into work, different treatment once they are employed, and different opportunities for pay, promotion and long-term security. That fits closely with OCR’s focus on patterns and trends in social inequality and how they affect life chances.
This activity is designed to help you think like a sociologist, not just copy down facts. As you move through the dashboard, you will compare different kinds of evidence, including official statistics, pay-gap data, discrimination research and reports on workplace experiences. This matters because each type of evidence tells us something slightly different. Large-scale official statistics are useful for spotting broad patterns, but they do not always explain what is happening underneath. Field experiments can test whether discrimination happens during recruitment. Surveys and reports can reveal the hidden side of inequality, such as racism at work, feeling excluded, or being passed over for promotion. OCR exam questions and mark schemes regularly expect students to make exactly these kinds of links between methods, evidence and ethnic inequalities in areas such as earnings and unemployment.
A really important point to keep in mind is that ethnic inequalities are not all the same. Sociology is strongest when it avoids over-simplified claims. Some evidence shows clear national patterns, but other evidence shows important differences between groups, sectors, age categories and even between men and women within the same broad ethnic category. So as you work through the task, try to ask yourself: does this source show a pattern, an explanation, or both? Does it point towards discrimination, wider structural disadvantage, intersectionality, or a mixture of these? The strongest OCR answers usually do not rely on one source alone. They compare evidence carefully, evaluate its strengths and weaknesses, and build a fuller explanation from more than one kind of research.
Ethnic Inequalities in Employment
Explore official statistics, discrimination research and workplace experience to investigate whether ethnic inequalities in employment are caused mainly by labour market structure, employer discrimination, intersectionality, or a combination of all three.
What students should do
- Open all five source cards and read the key finding from each source.
- For every source, answer the mini prompts: what pattern does it show, what method produced it, and what are its limitations?
- Use the comparison table to decide whether the evidence mainly suggests structural disadvantage, discrimination, intersectionality, or sector-specific underrepresentation.
- Complete the methods challenge and decide which research design gives the strongest overall picture of ethnic inequalities in employment.
- Finish the OCR-style mini exam task using at least two pieces of evidence from the dashboard.
Skills focus
- AO1: apply concepts such as discrimination, institutional racism, labour market disadvantage and intersectionality.
- AO2: interpret source material and link evidence to the issue of ethnic inequality in employment.
- AO3: evaluate validity, reliability, representativeness, generalisability and whether one source alone tells the full story.
Progress tracker
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Source pack
Click each source. Read the evidence, then decide what it suggests and how far it can be trusted. Try to compare large-scale official statistics with smaller studies of discrimination and workplace experience.
Employment rates by ethnicity
This is a useful starting point because it shows a broad labour-market pattern across ethnic groups. It suggests that access to employment is not evenly distributed, but it does not tell us why the gap exists.
Unemployment and age differences
This adds detail to the first source by showing that inequalities are not only about total employment. They also appear in unemployment rates and among younger workers, which points towards possible transitions from education to work as a key issue.
Ethnicity pay gaps and differences within groups
This source is useful because it moves beyond employment into pay. It also shows why broad ethnic categories can hide major internal differences. OCR students can use this to challenge over-generalised statements such as “ethnic minorities all experience the same pay disadvantage”.
Discrimination at the recruitment stage
This is one of the strongest pieces of evidence for direct discrimination because it isolates employer response at the point of application. It is especially useful for moving beyond the weakness of official statistics, which show a pattern but not necessarily the mechanism behind it.
Workplace racism, progression and intersectionality
This source is especially useful for introducing intersectionality. It suggests that ethnic inequality in employment is not only about getting a job, but also about workplace culture, belonging, and progression. It also reminds students that gender and ethnicity can combine in specific ways.
Sector inequality in engineering
This source is a useful reminder that some sectors are more exclusionary than others. Students can use it to discuss whether ethnic inequalities in employment are also shaped by sector pathways, educational routes, internships, networks and access to professional careers.
Compare the evidence
Use this table as a quick revision and analysis tool. Ask yourself: which evidence best shows a broad pattern, which best shows discrimination, and which best captures lived experience?
| Source | Main finding | What it may suggest | Evaluation point |
|---|---|---|---|
| Government ethnicity facts | White employment 77%; all other ethnic groups combined 69%; Pakistani and Bangladeshi 61% | National labour-market inequality | Reliable for patterns, weak for explaining causes |
| Government unemployment facts | Pakistani and Bangladeshi unemployment 9%; white unemployment 3% | Inequality also appears in unemployment and youth transitions | Still descriptive rather than explanatory |
| ONS pay-gap analysis | Black broad group consistently below White employees in 2012–2022; detailed subgroup gaps vary | Employment inequality includes pay and not all groups experience the same penalty | APS uncertainty means some estimates need caution |
| CSI / Nuffield field experiment | Minority ethnic applicants had to send 60% more applications | Evidence of discrimination at recruitment stage | Strong causal test for hiring, weaker beyond recruitment |
| Runnymede Broken Ladders | 75% experienced racism; 42% passed over for promotion | Workplace culture and progression matter too | Intersectional focus is powerful but not universally generalisable |
| Sutton Trust / Bridge Group | 8.1% minority ethnic workers in engineering vs 12.7% in non-engineering sectors | Some sectors may be more exclusionary than others | Sector-specific and older evidence, so use with care |
Which explanation fits best?
Click each explanation. Then decide which one is most convincing when all the evidence is combined.
Methods challenge
Question: Which research design would give the strongest overall sociological investigation of ethnic inequalities in employment?
OCR-style mini exam task
Task: Using material from the dashboard, explain one reason why mixed methods are useful for investigating ethnic inequalities in employment.
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