The table below provides summary statistics and salary benchmarking for jobs advertised in Luton requiring R skills. It covers permanent job vacancies from the 6 months leading up to 15 March 2026, with comparisons to the same periods in the previous two years.
|
|
6 months to
15 Mar 2026 |
Same period 2025 |
Same period 2024 |
| Rank |
13 |
- |
- |
| Rank change year-on-year |
- |
- |
- |
| Permanent jobs citing R |
1 |
0 |
0 |
| As % of all permanent jobs in Luton |
1.12% |
- |
- |
| As % of the Programming Languages category |
5.56% |
- |
- |
| Number of salaries quoted |
1 |
0 |
0 |
| 10th Percentile |
- |
- |
- |
| 25th Percentile |
£33,750 |
- |
- |
| Median annual salary (50th Percentile) |
£37,500 |
- |
- |
| 75th Percentile |
£41,250 |
- |
- |
| 90th Percentile |
- |
- |
- |
| Bedfordshire median annual salary |
£37,500 |
- |
- |
R falls under the Programming Languages category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring coding skills in Luton.
| Permanent vacancies with a requirement for coding skills |
18 |
47 |
29 |
| As % of all permanent jobs advertised in Luton |
20.22% |
47.00% |
20.86% |
| Number of salaries quoted |
16 |
21 |
26 |
| 10th Percentile |
- |
£45,000 |
£25,500 |
| 25th Percentile |
£30,500 |
£47,500 |
£26,625 |
| Median annual salary (50th Percentile) |
£60,000 |
£65,000 |
£47,500 |
| Median % change year-on-year |
-7.69% |
+36.84% |
-44.12% |
| 75th Percentile |
£75,000 |
£72,500 |
£57,250 |
| 90th Percentile |
£77,500 |
- |
£100,625 |
| Bedfordshire median annual salary |
£51,250 |
£50,000 |
£50,000 |
| % change year-on-year |
+2.50% |
- |
-16.67% |
R
Job Vacancy Trend in Luton
Historical trend showing the proportion of permanent IT job postings citing R relative to all permanent IT jobs advertised in Luton.
R
Salary Trend in Luton
Salary distribution trend for jobs in Luton citing R.
R
Co-Occurring Skills & Capabilities in Luton by Category
The following tables expand on the one above by listing co-occurrences grouped by category. They cover the same employment type, locality and period, with up to 20 co-occurrences shown in each category:
