The table below provides summary statistics and contractor rates for jobs advertised in Chester requiring MS Access skills. It covers vacancies from the 6 months leading up to 29 September 2025, with comparisons to the same periods in the previous two years.
MS Access 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 Chester.
Contract vacancies with a requirement for database or business intelligence skills
6
4
7
As % of all contract IT jobs advertised in Chester
6.38%
5.63%
9.09%
Number of daily rates quoted
4
4
5
10th Percentile
-
-
-
25th Percentile
£463
£525
£375
Median daily rate (50th Percentile)
£575
£563
£525
Median % change year-on-year
+2.22%
+7.14%
+5.00%
75th Percentile
£686
£588
£580
90th Percentile
£687
-
£645
Cheshire median daily rate
£402
£459
£413
% change year-on-year
-12.37%
+11.21%
-17.50%
Number of hourly rates quoted
0
0
1
Median hourly rate
-
-
£40.00
Median % change year-on-year
-
-
+66.67%
Cheshire median hourly rate
£40.00
-
£40.00
% change year-on-year
-
-
+60.00%
MS Access Job Vacancy Trend in Chester
Job postings citing MS Access as a proportion of all IT jobs advertised in Chester.
MS Access Daily Rate Trend in Chester
Contractor daily rate distribution trend for jobs in Chester citing MS Access.
MS Access Hourly Rate Trend in Chester
Contractor hourly rate distribution trend for jobs in Chester citing MS Access.
MS Access Top 19 Co-occurring Skills and Capabilities in Chester
For the 6 months to 29 September 2025, contractor job vacancies citing MS Access 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 MS Access.
MS Access 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:
