The median annual salary in Oxford is currently £36,392 and the mean (average) is £41,951 before tax.
The median salary means half of all employees in Oxford earn more than £36,392 and half earn less.
The mean (average) salary number of £41,951 is calculated by taking all the salaries in Oxford adding them up and then dividing by the total number of jobs (currently 59,000 which is 0.25% of all UK jobs).
Over the past 12 months the Oxford median salary of £36,392 has increased by 17.50% which places it 15.16% Above the median salary of the UK as a whole.
The mean salary of £41,951 has increased 21.80% during the same time period and now standards at 9.75% Above the mean salary of the UK.
Income (Before Tax) By Decile In Oxford
Top 10%: x (and above)
Top 20% x
Top 25% £48,826
Top 30% £46,335
Top 40% £40,596
Bottom 40% £30,271
Bottom 30% £26,943
Bottom 25% £23,468
Bottom 20% £26,943
Bottom 10% £11,919 (and below)
Average Monthly, Weekly & Hourly Pay (Before Tax) In Oxford
The median salary of £36,392 works out to:
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- £3,032.67 per month
- £690.50 per week
- £20.01 per hour
The mean salary of £41,951 works out to:
- £3,495.92 per month
- £779.10 per week
- £24.89 per hour
Men vs Women Salary Differences (Before Tax) In Oxford
Of the 59,000 jobs in Oxford, 30,000 (50.85%) were held by men and 29,000 (49.15%) were held by women.
The median salary for men was £41,791 vs £30,171 for women.
The mean salary for men was £50,316 vs £33,188 for women.
This means men in Oxford are paid 38.51% more based on median salaries or 51.61% more based on mean salaries than women.
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(Note this difference does not take into account the type of jobs held by men vs women just raw salary numbers)
Average Take-Home After-Tax Income In Oxford
The calculations below look at how much money the most typical worker gets to keep after income tax, employee national insurance and standard 5% employee pension contributions.
Based on Median Salary of £36,392:
- Salary Subject to Tax: £22,314.40
- Income Tax Owed: £4,462.88
- National Insurance: £1,905.76
- Employee Pension Deduction: £1,507.60
Take-Home Pay: £28,515.76 (78.36% of gross salary)
Total Gross Pension Contributions (Employee + Employer): £2,412.16
Based on Mean Salary of £41,951:
- Salary Subject to Tax: £27,595.45
- Income Tax Owed: £5,519.09
- National Insurance: £2,350.48
- Employee Pension Deduction: £1,785.55
Take-Home Pay: £32,295.88 (76.98% of gross salary)
Total Gross Pension Contributions (Employee + Employer): £2,856.88
How Expensive Is It To Employ Someone In Oxford?
The direct cost to employee someone includes salary, employer national insurance and employer pension contributions (3%).
Based on the median pay in Oxford it works out to:
- Salary: £36,392
- Employer National Insurance: £4,708.80
- Employer Pension Contribution: £904.56
Total Cost To An Employer: £42,005.36 per year
Based on the mean pay in Oxford it works out to:
- Salary: £41,951
- Employer National Insurance: £5,542.65
- Employer Pension Contribution: £1,071.33
Total Cost To An Employer: £48,564.98 per year
Income Tax And National Insurance Paid By Workers In Oxford
Finally, how much income tax and national insurance do people in Oxford pay altogether?
The calculations below show the combined totals based only on median and mean salaries. However, the actual number is significantly higher as “The 10% of income taxpayers with the largest incomes contribute over 60% of income tax receipts.”
If all workers in Oxford paid income tax and national insurance based on the median salary of £36,392 the combined income tax and national insurance (employer and employee) paid would be £653,568,960.
If all workers in Oxford paid income tax and national insurance based on the mean salary of £41,951 the combined income tax and national insurance (employer and employee) paid would be £791,320,980.
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More Salary Data By City
- South Oxfordshire
- Vale of White Horse
- West Oxfordshire
- Surrey
- Elmbridge
- Epsom and Ewell
- Guildford
- Mole Valley
- Reigate and Banstead
- Runnymede
All the data presented here comes from the Office of National Statistics.