The table below provides summary statistics for permanent job vacancies advertised in Southampton requiring Mathcad skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited Mathcad over the 6 months leading up to 19 July 2025, comparing them to the same period in the previous two years.
6 months to 19 Jul 2025
Same period 2024
Same period 2023
Rank
41
-
-
Rank change year-on-year
-
-
-
Permanent jobs citing Mathcad
1
0
0
As % of all permanent jobs advertised in Southampton
Mathcad 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 Southampton.
Permanent vacancies with a requirement for software application skills
40
41
36
As % of all permanent jobs advertised in Southampton
10.64%
4.41%
5.63%
Number of salaries quoted
19
29
32
10th Percentile
-
£26,250
£24,800
25th Percentile
£25,500
£30,000
£30,500
Median annual salary (50th Percentile)
£35,000
£37,500
£45,000
Median % change year-on-year
-6.67%
-16.67%
+12.50%
75th Percentile
£55,625
£52,500
£60,313
90th Percentile
£72,180
£67,500
£68,625
Hampshire median annual salary
£40,101
£39,000
£45,000
% change year-on-year
+2.82%
-13.33%
+12.50%
Mathcad Job Vacancy Trend in Southampton
Job postings citing Mathcad as a proportion of all IT jobs advertised in Southampton.
Mathcad Salary Trend in Southampton
3-month moving average salary quoted in jobs citing Mathcad in Southampton.
Mathcad Top 15 Co-occurring Skills and Capabilities in Southampton
For the 6 months to 19 July 2025, job vacancies citing Mathcad also mentioned the following skills and capabilities in order of popularity.
The figures indicate the absolute number co-occurrences and as a proportion of all permanent job ads across the Southampton region with a requirement for Mathcad.
Mathcad Co-occurring Skills and Capabilities in Southampton by Category
The follow tables expand on the table above by listing co-occurrences grouped by category.
The same employment type, locality and period is covered with up to 20 co-occurrences shown in each of the following categories:
