The table below provides summary statistics for contract job vacancies advertised in Chester requiring PL/SQL skills. It includes a benchmarking guide to the contractor rates offered in vacancies that cited PL/SQL over the 6 months leading up to 3 August 2025, comparing them to the same period in the previous two years.
PL/SQL falls under the Programming Languages category. For comparison with the information above, the following table provides summary statistics for all contract job vacancies requiring coding skills in Chester.
Contract vacancies with a requirement for coding skills
15
3
24
As % of all contract IT jobs advertised in Chester
20.27%
5.56%
23.30%
Number of daily rates quoted
4
3
15
10th Percentile
£548
£557
£375
25th Percentile
£581
£565
£400
Median daily rate (50th Percentile)
£618
£577
£500
Median % change year-on-year
+7.02%
+15.40%
+17.65%
75th Percentile
£667
£594
£600
90th Percentile
£724
£603
£658
Cheshire median daily rate
£402
£445
£550
% change year-on-year
-9.66%
-19.09%
+22.22%
Number of hourly rates quoted
0
0
1
Median hourly rate
-
-
£40.00
Median % change year-on-year
-
-
+83.65%
Cheshire median hourly rate
£32.00
-
£40.00
% change year-on-year
-
-
+73.91%
PL/SQL Job Vacancy Trend in Chester
Job postings citing PL/SQL as a proportion of all IT jobs advertised in Chester.
PL/SQL Contractor Daily Rate Trend in Chester
3-month moving average daily rate quoted in jobs citing PL/SQL in Chester.
PL/SQL Contractor Hourly Rate Trend in Chester
3-month moving average hourly rates quoted in jobs citing PL/SQL in Chester.
PL/SQL Top 30 Co-occurring Skills and Capabilities in Chester
For the 6 months to 3 August 2025, contractor 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 contract job ads across the Chester region with a requirement for PL/SQL.
PL/SQL Co-occurring Skills and Capabilities in Chester 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:
