The table below provides summary statistics and salary benchmarking for jobs advertised in Sunderland requiring R skills. It covers permanent job vacancies from the 6 months leading up to 14 April 2026, with comparisons to the same periods in the previous two years.
|
|
6 months to
14 Apr 2026 |
Same period 2025 |
Same period 2024 |
| Rank |
20 |
- |
- |
| Rank change year-on-year |
- |
- |
- |
| Permanent jobs citing R |
1 |
0 |
0 |
| As % of all permanent jobs in Sunderland |
0.71% |
- |
- |
| As % of the Programming Languages category |
4.17% |
- |
- |
| Number of salaries quoted |
1 |
0 |
0 |
| 10th Percentile |
- |
- |
- |
| 25th Percentile |
£27,500 |
- |
- |
| Median annual salary (50th Percentile) |
£30,000 |
- |
- |
| 75th Percentile |
£32,500 |
- |
- |
| 90th Percentile |
- |
- |
- |
| Tyne and Wear median annual salary |
£30,500 |
£50,000 |
£55,000 |
| % change year-on-year |
-39.00% |
-9.09% |
+23.14% |
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 Sunderland.
| Permanent vacancies with a requirement for coding skills |
24 |
6 |
58 |
| As % of all permanent jobs advertised in Sunderland |
17.02% |
16.67% |
38.93% |
| Number of salaries quoted |
23 |
5 |
53 |
| 10th Percentile |
£33,500 |
£41,149 |
£46,500 |
| 25th Percentile |
£42,500 |
£42,123 |
£60,000 |
| Median annual salary (50th Percentile) |
£55,000 |
£65,000 |
£70,000 |
| Median % change year-on-year |
-15.38% |
-7.14% |
+75.00% |
| 75th Percentile |
- |
£77,500 |
£74,750 |
| 90th Percentile |
£67,000 |
£79,000 |
£86,250 |
| Tyne and Wear median annual salary |
£55,000 |
£55,000 |
£55,000 |
R
Job Vacancy Trend in Sunderland
Historical trend showing the proportion of permanent IT job postings citing R relative to all permanent IT jobs advertised in Sunderland.
R
Co-Occurring Skills & Capabilities in Sunderland 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:
