The table below provides summary statistics and salary benchmarking for jobs advertised in Thame requiring C# skills. It covers permanent job vacancies from the 6 months leading up to 8 August 2026, with comparisons to the same periods in the previous two years.
|
|
6 months to
8 Aug 2026 |
Same period 2025 |
Same period 2024 |
| Rank |
6 |
- |
- |
| Rank change year-on-year |
- |
- |
- |
| Permanent jobs citing C# |
2 |
0 |
0 |
| As % of all permanent jobs in Thame |
8.33% |
- |
- |
| As % of the Programming Languages category |
25.00% |
- |
- |
| Number of salaries quoted |
2 |
0 |
0 |
| 10th Percentile |
£45,075 |
- |
- |
| 25th Percentile |
£45,188 |
- |
- |
| Median annual salary (50th Percentile) |
£45,750 |
- |
- |
| 75th Percentile |
£46,688 |
- |
- |
| 90th Percentile |
£47,025 |
- |
- |
| Oxfordshire median annual salary |
£62,500 |
£65,000 |
£52,500 |
| % change year-on-year |
-3.85% |
+23.81% |
-12.50% |
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 Thame.
| Permanent vacancies with a requirement for coding skills |
8 |
1 |
2 |
| As % of all permanent jobs advertised in Thame |
33.33% |
6.67% |
11.11% |
| Number of salaries quoted |
8 |
0 |
2 |
| 10th Percentile |
£45,525 |
- |
£57,750 |
| 25th Percentile |
£56,438 |
- |
£60,000 |
| Median annual salary (50th Percentile) |
£60,000 |
- |
£65,000 |
| Median % change year-on-year |
- |
- |
+52.94% |
| 75th Percentile |
- |
- |
£70,000 |
| 90th Percentile |
- |
- |
£72,250 |
| Oxfordshire median annual salary |
£58,750 |
£60,000 |
£52,500 |
| % change year-on-year |
-2.08% |
+14.29% |
-12.50% |
C#
Job Vacancy Trend in Thame
Historical trend showing the proportion of permanent IT job postings citing C# relative to all permanent IT jobs advertised in Thame.
C#
Salary Trend in Thame
Salary distribution trend for jobs in Thame citing C#.
C#
Co-Occurring Skills & Capabilities in Thame 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:
