The table below provides summary statistics and contractor rates for jobs advertised in Salisbury requiring Computer Science skills. It covers contract job vacancies from the 6 months leading up to 4 November 2025, with comparisons to the same periods in the previous two years.
Computer Science falls under the Processes and Methodologies category. For comparison with the information above, the following table provides summary statistics for all contract job vacancies requiring process or methodology skills in Salisbury.
Contract vacancies with a requirement for process or methodology skills
28
50
102
As % of all contract IT jobs advertised in Salisbury
73.68%
96.15%
91.07%
Number of daily rates quoted
12
38
78
10th Percentile
£482
£204
£300
25th Percentile
£567
£228
£425
Median daily rate (50th Percentile)
£673
£363
£505
Median % change year-on-year
+85.52%
-28.22%
-11.56%
75th Percentile
£856
£501
£611
90th Percentile
£941
£575
£679
Wiltshire median daily rate
£575
£550
£550
% change year-on-year
+4.55%
-
-
Computer Science Job Vacancy Trend in Salisbury
Historical trend showing the proportion of contract IT job postings citing Computer Science relative to all contract IT jobs advertised in Salisbury.
Computer Science Daily Rate Trend in Salisbury
Contractor daily rate distribution trend for jobs in Salisbury citing Computer Science.
Computer Science Hourly Rate Trend in Salisbury
Contractor hourly rate distribution trend for jobs in Salisbury citing Computer Science.
Computer Science Top 21 Co-Occurring Skills & Capabilities in Salisbury
For the 6 months to 4 November 2025, contractor job vacancies citing Computer Science also mentioned the following skills and capabilities in order of popularity.
The figures indicate the absolute number of co-occurrences and as a proportion of all contract job ads across the Salisbury region with a requirement for Computer Science.
Computer Science Co-Occurring Skills & Capabilities in Salisbury 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:
