The table below provides summary statistics for contract job vacancies advertised in Yeovil requiring SQL Server skills. It includes a benchmarking guide to the contractor rates offered in vacancies that cited SQL Server over the 6 months leading up to 28 August 2025, comparing them to the same period in the previous two years.
SQL Server falls under the Databases and Business Intelligence category. For comparison with the information above, the following table provides summary statistics for all contract job vacancies requiring database or business intelligence skills in Yeovil.
DemandTrendContract vacancies with a requirement for database or business intelligence skills
1
1
6
As % of all contract IT jobs advertised in Yeovil
2.86%
14.29%
18.75%
Number of daily rates quoted
0
0
1
Median daily rate (50th Percentile)
-
-
£400
Somerset median daily rate
£513
£450
£475
% change year-on-year
+13.89%
-5.26%
-
Number of hourly rates quoted
0
0
3
10th Percentile
-
-
£35.12
25th Percentile
-
-
£39.20
Median hourly rate
-
-
£46.00
Median % change year-on-year
-
-
-8.00%
75th Percentile
-
-
£46.09
90th Percentile
-
-
£46.14
Somerset median hourly rate
-
-
£40.40
% change year-on-year
-
-
-19.21%
SQL Server Job Vacancy Trend in Yeovil
Job postings citing SQL Server as a proportion of all IT jobs advertised in Yeovil.
SQL Server Daily Rate Trend in Yeovil
Contractor daily rate distribution trend for jobs in Yeovil citing SQL Server.
SQL Server Hourly Rate Trend in Yeovil
Contractor hourly rate distribution trend for jobs in Yeovil citing SQL Server.
SQL Server Top 26 Co-occurring Skills and Capabilities in Yeovil
For the 6 months to 28 August 2025, contractor job vacancies citing SQL Server 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 contract job ads across the Yeovil region with a requirement for SQL Server.
SQL Server Co-occurring Skills and Capabilities in Yeovil 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:
