White Britons aged between 16 and 29 earn less money per hour than similarly-aged members of other ethnic minority groups, official figures revealed yesterday.
On average, a white young-adult earned £9.82 per hour in 2019, according to the Office for National Statistics (ONS).
This is compared to £14.29-an-hour earned by Chinese employees, £12.10 earned by Arab workers and £11.25 taken home by Indian colleagues of a similar age.
While white British workers don’t earn more than all non-white groups – Pakistani employees earned £9.63 per hour on average for example – ethnic minorities in the 16 to 29 age bracket took home an average of 5.5 per cent more money last year.
However, in the 30-plus category, white workers earned 7.3 per cent more per hour than their ethnic minority counterparts.
White Britons aged between 16 and 29 earn less money per hour than similarly-aged members of ethnic minority groups, official figures revealed yesterday
The ONS data found that overall there was a 2.3 per cent gap in earnings between white and ethnic minority employees in England and Wales in 2019 – marking the smallest paygap seen in seven years.
The average hourly income for white employees of all ages stands at £12.40.
This is compared with an average £12.11 for those in 17 ethnic minority groups. This is the smallest gap since 2012, when it was 5.1 per cent.
The gap is calculated as the difference between the average hourly earnings of ethnic groups and white or white British employees, as a proportion of the average hourly earnings of the latter.
The study also found that white Irish are the highest earning group, followed by Chinese and Indian – and that ethnic minority employees aged between 16 and 29 tend to earn more than their white counterparts.
The hourly median pay gap between white people and ethnic minority groups has narrowed to the smallest level since 2012
The Office for National Statistics said the average (median) hourly pay rate differs widely between different ethnic groups
Most minority ethnic groups earned less on average than white British people in 2019, but Chinese and Indian earned more
The ONS data has found the ethnicity pay gap is larger for men than for women across every year between 2012 and 2019
Between 2012 and 2019, Chinese, white Irish, white and Asian, and Indian ethnicities earned more on average than white British employees.
But most of the groups, including Bangladeshi, Pakistani and Arab, consistently earned less than white British employees over the same period.
The biggest gaps were between Pakistani workers (£10.55 per hour) and white British (£12.49 per hour), while white Irish workers earned £17.55 per hour on average.
Taking into account factors such as age, sex, marital status, children, qualifications, country of birth and location of employees narrows the gap for many ethnic groups, the ONS found.
It said: ‘Adjusting for pay determining characteristics influences the pay gaps observed, with a narrowing of pay gaps for most ethnicities.
‘This suggests that differences in the average characteristics of different ethnic groups was influencing the unadjusted pay gap, often overstating the difference.’
It found the gap is larger for men than women, although men earn more than women across most ethnic groups.
This graph shows how men earned a higher hourly median wage than women in all but three ethnic groups in 2019
The pay gap between white people and those from ethnic minorities is larger for those aged 30-plus than for 16-29 year olds
This graph from the Office for National Statistics shows how the ethnicity pay gap is largest in London and smallest in Wales
The non-UK born white Irish pay gap narrows by 41.7 percentage points when adjusting for pay-determining characteristics
In 2019, ethnic minority men earned 6.1 per cent less than white men whilst the hourly pay of ethnic minority women was 2.1 per cent more than white women.
It was most pronounced in London, at 23.8 per cent, and smallest in Wales, at 1.4 per cent, the ONS said.
Ethnic minority employees aged 30 and over tend to earn less than their white counterparts, while those aged 16-29 tend to earn more, the ONS found.
The ONS analysed data on earnings from the Annual Population Survey (APS), running between 2012 and 2019.
George Bangham, an economist at the Resolution Foundation think tank, said today that the ONS analysis had some ‘important findings’, adding: ‘Progress has been made in recent years but shocking disparities remain, requiring decisive action.’
He said: ‘The headline is that the ethnicity pay gap narrowed between 2012 and 2019, but this doesn’t mean things have improved among all 17 ethnic groups considered in the analysis: it has risen for the Black Caribbean, Other Black/African/Caribbean and White & Black African ethnic groups.
White British employees are the least likely to live in London by some distance compared to those from ethnic minorities
Chinese employees are the most likely to have a degree or equivalent, according to the Office for National Statistics data
This graph shows how most ethnicities have an average median age less than the median age for white British employees
The ONS analysis shows how adjusted pay gaps differ by country and English region by country of birth
‘Conversely, the ethnicity pay gap has fallen for some ethnic minorities, most of all for the Chinese, Indian, Bangladeshi and Other Asian background ethnic groups.
‘Workers in some ethnic groups are in fact paid more, at the median, than their White British counterparts: this is most the case for White Irish workers, but also applies to people from Chinese, Indian, and White and Asian ethnicities.’
He added that the ethnicity pay gap was consistently larger among men than women, but since 2012 it has fallen for men while changing less for women.
Mr Bangham added: ‘ONS regression analysis shows the ethnicity pay gap can partly be explained by the differing personal characteristics – e.g. age, education level – of workers in ethnic minority groups, but big ethnicity pay penalties remain, even once personal characteristics are accounted for.’