The table below provides summary statistics for permanent job vacancies advertised in Sunderland requiring MySQL skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited MySQL over the 6 months leading up to 2 May 2025, comparing them to the same period in the previous two years.
6 months to 2 May 2025
Same period 2024
Same period 2023
Rank
15
18
-
Rank change year-on-year
+3
-
-
Permanent jobs citing MySQL
1
21
0
As % of all permanent jobs advertised in Sunderland
MySQL falls under the Databases and Business Intelligence category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring database or business intelligence skills in Sunderland.
Permanent vacancies with a requirement for database or business intelligence skills
4
44
3
As % of all permanent jobs advertised in Sunderland
8.51%
28.21%
4.41%
Number of salaries quoted
4
38
3
10th Percentile
£39,450
£45,000
£32,500
25th Percentile
£40,125
£62,000
£34,375
Median annual salary (50th Percentile)
£41,562
£70,000
£40,000
Median % change year-on-year
-40.63%
+75.00%
-
75th Percentile
£50,967
£73,250
£42,500
90th Percentile
£66,887
£86,250
-
Tyne and Wear median annual salary
£55,000
£50,000
£55,000
% change year-on-year
+10.00%
-9.09%
+22.22%
MySQL Job Vacancy Trend in Sunderland
Job postings citing MySQL as a proportion of all IT jobs advertised in Sunderland.
MySQL Salary Trend in Sunderland
3-month moving average salary quoted in jobs citing MySQL in Sunderland.
MySQL Top 23 Co-occurring Skills and Capabilities in Sunderland
For the 6 months to 2 May 2025, job vacancies citing MySQL 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 Sunderland region with a requirement for MySQL.
MySQL Co-occurring Skills and Capabilities in Sunderland 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:
