Microsoft Excel
Oxfordshire > Thame
The table below provides summary statistics and salary benchmarking for jobs advertised in Thame requiring Microsoft Excel skills. It covers permanent job vacancies from the 6 months leading up to 29 September 2026, with comparisons to the same periods in the previous two years.
|
|
6 months to
29 Sep 2026 |
Same period 2025 |
Same period 2024 |
| Rank |
7 |
- |
- |
| Rank change year-on-year |
- |
- |
- |
| Permanent jobs citing Microsoft Excel |
1 |
0 |
0 |
| As % of all permanent jobs in Thame |
4.00% |
- |
- |
| As % of the Applications category |
50.00% |
- |
- |
| Number of salaries quoted |
1 |
0 |
0 |
| Median annual salary (50th Percentile) |
£27,000 |
- |
- |
| Oxfordshire median annual salary |
£32,000 |
£30,000 |
£42,000 |
| % change year-on-year |
+6.67% |
-28.57% |
+34.40% |
Microsoft Excel falls under the Software Applications category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring software application skills in Thame.
| Permanent vacancies with a requirement for software application skills |
2 |
12 |
0 |
| As % of all permanent jobs advertised in Thame |
8.00% |
70.59% |
- |
| Number of salaries quoted |
2 |
12 |
0 |
| 10th Percentile |
£27,300 |
- |
- |
| 25th Percentile |
£27,750 |
- |
- |
| Median annual salary (50th Percentile) |
£28,500 |
£60,000 |
- |
| Median % change year-on-year |
-52.50% |
- |
- |
| 75th Percentile |
£29,250 |
- |
- |
| 90th Percentile |
£29,700 |
- |
- |
| Oxfordshire median annual salary |
£32,000 |
£34,750 |
£35,000 |
| % change year-on-year |
-7.91% |
-0.71% |
-17.65% |
Microsoft Excel
Job Vacancy Trend in Thame
Historical trend showing the proportion of permanent IT job postings citing Microsoft Excel relative to all permanent IT jobs advertised in Thame.
Microsoft Excel
Salary Trend in Thame
Salary distribution trend for jobs in Thame citing Microsoft Excel.
Microsoft Excel
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:
