C#
Kent > Swanley
The table below provides summary statistics and salary benchmarking for jobs advertised in Swanley requiring C# skills. It covers permanent job vacancies from the 6 months leading up to 10 May 2026, with comparisons to the same periods in the previous two years.
|
|
6 months to 10 May 2026 |
Same period 2025 |
Same period 2024 |
| Rank |
6 |
- |
3 |
| Rank change year-on-year |
- |
- |
- |
| Permanent jobs citing C# |
1 |
0 |
2 |
| As % of all permanent jobs in Swanley |
4.17% |
- |
40.00% |
| As % of the Programming Languages category |
50.00% |
- |
100.00% |
| Number of salaries quoted |
1 |
0 |
2 |
| 10th Percentile |
- |
- |
£43,125 |
| 25th Percentile |
£48,750 |
- |
£44,063 |
| Median annual salary (50th Percentile) |
£52,500 |
- |
£48,750 |
| 75th Percentile |
£56,250 |
- |
£54,063 |
| 90th Percentile |
- |
- |
£55,375 |
| Kent median annual salary |
£40,000 |
£47,500 |
£55,000 |
| % change year-on-year |
-15.79% |
-13.64% |
- |
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 Swanley.
| Permanent vacancies with a requirement for coding skills |
2 |
0 |
2 |
| As % of all permanent jobs advertised in Swanley |
8.33% |
- |
40.00% |
| Number of salaries quoted |
2 |
0 |
2 |
| 10th Percentile |
£50,125 |
- |
£43,125 |
| 25th Percentile |
£52,188 |
- |
£44,063 |
| Median annual salary (50th Percentile) |
£58,750 |
- |
£48,750 |
| 75th Percentile |
£64,688 |
- |
£54,063 |
| 90th Percentile |
£66,375 |
- |
£55,375 |
| Kent median annual salary |
£52,500 |
£47,000 |
£55,000 |
| % change year-on-year |
+11.70% |
-14.55% |
+4.76% |
C#
Job Vacancy Trend in Swanley
Historical trend showing the proportion of permanent IT job postings citing C# relative to all permanent IT jobs advertised in Swanley.
C#
Salary Trend in Swanley
Salary distribution trend for jobs in Swanley citing C#.
C#
Co-Occurring Skills & Capabilities in Swanley 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: