Microsoft Project
Staffordshire > Stafford
The table below provides summary statistics and salary benchmarking for jobs advertised in Stafford requiring Microsoft Project skills. It covers permanent job vacancies from the 6 months leading up to 14 January 2026, with comparisons to the same periods in the previous two years.
|
|
6 months to
14 Jan 2026 |
Same period 2025 |
Same period 2024 |
| Rank |
11 |
14 |
- |
| Rank change year-on-year |
+3 |
- |
- |
| Permanent jobs citing Microsoft Project |
1 |
5 |
0 |
| As % of all permanent jobs in Stafford |
1.59% |
7.94% |
- |
| As % of the Applications category |
25.00% |
83.33% |
- |
| Number of salaries quoted |
1 |
5 |
0 |
| Median annual salary (50th Percentile) |
£53,688 |
£52,344 |
- |
| Median % change year-on-year |
+2.57% |
- |
- |
| Staffordshire median annual salary |
£53,688 |
£52,344 |
£57,500 |
| % change year-on-year |
+2.57% |
-8.97% |
+15.00% |
Microsoft Project 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 Stafford.
| Permanent vacancies with a requirement for software application skills |
4 |
6 |
0 |
| As % of all permanent jobs advertised in Stafford |
6.35% |
9.52% |
- |
| Number of salaries quoted |
1 |
5 |
0 |
| Median annual salary (50th Percentile) |
£53,688 |
£52,344 |
- |
| Median % change year-on-year |
+2.57% |
- |
- |
| Staffordshire median annual salary |
£37,250 |
£35,000 |
£28,000 |
| % change year-on-year |
+6.43% |
+25.00% |
-27.74% |
Microsoft Project
Job Vacancy Trend in Stafford
Historical trend showing the proportion of permanent IT job postings citing Microsoft Project relative to all permanent IT jobs advertised in Stafford.
Microsoft Project
Salary Trend in Stafford
Salary distribution trend for jobs in Stafford citing Microsoft Project.
Microsoft Project
Co-Occurring Skills & Capabilities in Stafford 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:
