The table below provides summary statistics and salary benchmarking for jobs advertised in Crawley 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 |
25 |
- |
- |
| Rank change year-on-year |
- |
- |
- |
| Permanent jobs citing R |
1 |
0 |
0 |
| As % of all permanent jobs in Crawley |
0.60% |
- |
- |
| As % of the Programming Languages category |
3.45% |
- |
- |
| Number of salaries quoted |
1 |
0 |
0 |
| 10th Percentile |
- |
- |
- |
| 25th Percentile |
£29,000 |
- |
- |
| Median annual salary (50th Percentile) |
£31,000 |
- |
- |
| 75th Percentile |
£33,000 |
- |
- |
| 90th Percentile |
- |
- |
- |
| West Sussex median annual salary |
£31,000 |
- |
- |
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 Crawley.
| Permanent vacancies with a requirement for coding skills |
29 |
15 |
59 |
| As % of all permanent jobs advertised in Crawley |
17.47% |
25.00% |
30.26% |
| Number of salaries quoted |
27 |
4 |
45 |
| 10th Percentile |
£31,100 |
£37,625 |
£39,750 |
| 25th Percentile |
£47,500 |
£47,188 |
£45,000 |
| Median annual salary (50th Percentile) |
£50,000 |
£57,500 |
£60,000 |
| Median % change year-on-year |
-13.04% |
-4.17% |
-7.69% |
| 75th Percentile |
£58,750 |
£68,125 |
£68,000 |
| 90th Percentile |
£59,250 |
£82,750 |
£85,250 |
| West Sussex median annual salary |
£60,000 |
£50,000 |
£57,500 |
| % change year-on-year |
+20.00% |
-13.04% |
-1.71% |
R
Job Vacancy Trend in Crawley
Historical trend showing the proportion of permanent IT job postings citing R relative to all permanent IT jobs advertised in Crawley.
R
Salary Trend in Crawley
Salary distribution trend for jobs in Crawley citing R.
R
Co-Occurring Skills & Capabilities in Crawley 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:
