The table below provides summary statistics and salary benchmarking for jobs advertised in Uxbridge requiring C# skills. It covers permanent job vacancies from the 6 months leading up to 5 March 2026, with comparisons to the same periods in the previous two years.
|
|
6 months to 5 Mar 2026 |
Same period 2025 |
Same period 2024 |
| Rank |
20 |
- |
- |
| Rank change year-on-year |
- |
- |
- |
| Permanent jobs citing C# |
2 |
0 |
0 |
| As % of all permanent jobs in Uxbridge |
1.69% |
- |
- |
| As % of the Programming Languages category |
40.00% |
- |
- |
| Number of salaries quoted |
2 |
0 |
0 |
| 10th Percentile |
- |
- |
- |
| 25th Percentile |
£31,250 |
- |
- |
| Median annual salary (50th Percentile) |
£32,500 |
- |
- |
| 75th Percentile |
£33,750 |
- |
- |
| 90th Percentile |
- |
- |
- |
| Hillingdon median annual salary |
£32,500 |
- |
£58,000 |
| % change year-on-year |
- |
- |
+77.10% |
C# 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 Uxbridge.
| Permanent vacancies with a requirement for coding skills |
5 |
0 |
4 |
| As % of all permanent jobs advertised in Uxbridge |
4.24% |
- |
10.00% |
| Number of salaries quoted |
5 |
0 |
3 |
| 10th Percentile |
- |
- |
£56,500 |
| 25th Percentile |
£31,250 |
- |
£58,750 |
| Median annual salary (50th Percentile) |
£47,000 |
- |
£65,000 |
| Median % change year-on-year |
- |
- |
+30.00% |
| 75th Percentile |
£63,750 |
- |
£67,500 |
| 90th Percentile |
£97,500 |
- |
- |
| Hillingdon median annual salary |
£47,000 |
- |
£61,500 |
| % change year-on-year |
- |
- |
+23.00% |
C#
Job Vacancy Trend in Uxbridge
Historical trend showing the proportion of permanent IT job postings citing C# relative to all permanent IT jobs advertised in Uxbridge.
C#
Salary Trend in Uxbridge
Salary distribution trend for jobs in Uxbridge citing C#.
C#
Co-Occurring Skills & Capabilities in Uxbridge 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: