The table below provides summary statistics for permanent job vacancies advertised in Stoke-on-Trent requiring PL/SQL skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited PL/SQL over the 6 months leading up to 30 May 2025, comparing them to the same period in the previous two years.
6 months to 30 May 2025
Same period 2024
Same period 2023
Rank
26
-
38
Rank change year-on-year
-
-
-9
Permanent jobs citing PL/SQL
1
0
2
As % of all permanent jobs advertised in Stoke-on-Trent
PL/SQL falls under the Programming Languages category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring coding skills in Stoke-on-Trent.
Permanent vacancies with a requirement for coding skills
37
103
72
As % of all permanent jobs advertised in Stoke-on-Trent
35.58%
27.61%
32.29%
Number of salaries quoted
30
89
50
10th Percentile
-
£31,100
£31,250
25th Percentile
£32,500
£35,000
£33,750
Median annual salary (50th Percentile)
£35,000
£47,500
£42,500
Median % change year-on-year
-26.32%
+11.76%
-10.53%
75th Percentile
£43,750
£58,750
£51,250
90th Percentile
£61,250
£63,000
£63,000
Staffordshire median annual salary
£52,568
£47,500
£45,000
% change year-on-year
+10.67%
+5.56%
+8.43%
PL/SQL Job Vacancy Trend in Stoke-on-Trent
Job postings citing PL/SQL as a proportion of all IT jobs advertised in Stoke-on-Trent.
PL/SQL Salary Trend in Stoke-on-Trent
3-month moving average salary quoted in jobs citing PL/SQL in Stoke-on-Trent.
PL/SQL Top 8 Co-occurring Skills and Capabilities in Stoke-on-Trent
For the 6 months to 30 May 2025, job vacancies citing PL/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 Stoke-on-Trent region with a requirement for PL/SQL.
PL/SQL Co-occurring Skills and Capabilities in Stoke-on-Trent 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:
