The following table provides summary statistics for permanent job vacancies advertised in Stoke-on-Trent with a requirement for PL/SQL skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited PL/SQL over the 6 months to 4 May 2024 with a comparison to the same period in the previous 2 years.
6 months to 4 May 2024
Same period 2023
Same period 2022
Rank
45
39
30
Rank change year-on-year
-6
-9
-
Permanent jobs citing PL/SQL
1
2
1
As % of all permanent jobs advertised in Stoke-on-Trent
PL/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 Stoke-on-Trent with a requirement for coding skills.
Permanent vacancies with a requirement for coding skills
96
67
51
As % of all permanent jobs advertised in Stoke-on-Trent
28.15%
31.02%
31.48%
Number of salaries quoted
83
46
32
10th Percentile
£31,250
£31,250
£33,750
25th Percentile
£35,000
£32,813
£36,875
Median annual salary (50th Percentile)
£50,000
£42,500
£44,250
Median % change year-on-year
+17.65%
-3.95%
+10.63%
75th Percentile
£58,750
£51,250
£52,500
90th Percentile
£62,500
£58,125
£58,250
Staffordshire median annual salary
£47,500
£45,000
£41,250
% change year-on-year
+5.56%
+9.09%
+10.00%
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 16 Co-occurring Skills and Capabilities in Stoke-on-Trent
For the 6 months to 4 May 2024, 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:
