The table below provides summary statistics for permanent job vacancies advertised in Wimbledon requiring Clean Code skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited Clean Code over the 6 months leading up to 13 May 2025, comparing them to the same period in the previous two years.
6 months to 13 May 2025
Same period 2024
Same period 2023
Rank
15
-
-
Rank change year-on-year
-
-
-
Permanent jobs citing Clean Code
2
0
0
As % of all permanent jobs advertised in Wimbledon
Clean Code falls under the Processes and Methodologies category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring process or methodology skills in Wimbledon.
Permanent vacancies with a requirement for process or methodology skills
45
8
27
As % of all permanent jobs advertised in Wimbledon
100.00%
57.14%
77.14%
Number of salaries quoted
25
7
27
10th Percentile
-
£31,700
£38,750
25th Percentile
£78,750
£42,250
£48,125
Median annual salary (50th Percentile)
£82,500
£55,000
£60,000
Median % change year-on-year
+50.00%
-8.33%
-
75th Percentile
£111,250
£87,500
£76,250
90th Percentile
-
£111,000
£84,500
Merton median annual salary
£65,000
£62,500
£55,000
% change year-on-year
+4.00%
+13.64%
-8.33%
Clean Code Job Vacancy Trend in Wimbledon
Job postings citing Clean Code as a proportion of all IT jobs advertised in Wimbledon.
Clean Code Salary Trend in Wimbledon
3-month moving average salary quoted in jobs citing Clean Code in Wimbledon.
Clean Code Top 21 Co-occurring Skills and Capabilities in Wimbledon
For the 6 months to 13 May 2025, job vacancies citing Clean Code 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 Wimbledon region with a requirement for Clean Code.
Clean Code Co-occurring Skills and Capabilities in Wimbledon 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:
