The following table provides summary statistics for permanent job vacancies advertised in Salisbury with a requirement for SQL skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited SQL over the 6 months to 24 April 2024 with a comparison to the same period in the previous 2 years.
6 months to 24 Apr 2024
Same period 2023
Same period 2022
Rank
27
19
34
Rank change year-on-year
-8
+15
-
Permanent jobs citing SQL
11
15
1
As % of all permanent jobs advertised in Salisbury
SQL is in the Programming Languages category. The following table is for comparison with the above and provides summary statistics for all permanent job vacancies advertised in Salisbury with a requirement for coding skills.
Permanent vacancies with a requirement for coding skills
63
73
40
As % of all permanent jobs advertised in Salisbury
31.50%
58.40%
39.60%
Number of salaries quoted
44
64
29
10th Percentile
£33,625
£35,000
£31,700
25th Percentile
£45,000
£37,500
£37,750
Median annual salary (50th Percentile)
£46,000
£45,750
£48,500
Median % change year-on-year
+0.55%
-5.67%
+102.08%
75th Percentile
£56,125
£56,375
£53,750
90th Percentile
£70,000
£66,250
£61,000
Wiltshire median annual salary
£50,000
£50,000
£50,000
SQL Job Vacancy Trend in Salisbury
Job postings citing SQL as a proportion of all IT jobs advertised in Salisbury.
SQL Salary Trend in Salisbury
3-month moving average salary quoted in jobs citing SQL in Salisbury.
SQL Salary Histogram in Salisbury
Salary distribution for jobs citing SQL in Salisbury over the 6 months to 24 April 2024.
SQL Top 30 Co-occurring Skills and Capabilities in Salisbury
For the 6 months to 24 April 2024, job vacancies citing SQL 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 Salisbury region with a requirement for SQL.
SQL Co-occurring Skills and Capabilities in Salisbury 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:
