The table below provides summary statistics for permanent job vacancies advertised in Burton-upon-Trent requiring Python skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited Python over the 6 months leading up to 21 May 2025, comparing them to the same period in the previous two years.
6 months to 21 May 2025
Same period 2024
Same period 2023
Rank
16
21
17
Rank change year-on-year
+5
-4
+2
Permanent jobs citing Python
1
1
1
As % of all permanent jobs advertised in Burton-upon-Trent
Python falls under the Programming Languages category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring coding skills in Burton-upon-Trent.
Permanent vacancies with a requirement for coding skills
9
27
19
As % of all permanent jobs advertised in Burton-upon-Trent
13.64%
37.50%
35.19%
Number of salaries quoted
6
24
18
10th Percentile
£32,500
£48,625
£28,400
25th Percentile
£35,000
£52,188
£38,438
Median annual salary (50th Percentile)
£45,000
£58,750
£51,250
Median % change year-on-year
-23.40%
+14.63%
+36.67%
75th Percentile
£47,500
£62,500
£57,500
90th Percentile
-
£63,750
£62,251
Staffordshire median annual salary
£48,750
£47,500
£45,000
% change year-on-year
+2.63%
+5.56%
+8.43%
Python Job Vacancy Trend in Burton-upon-Trent
Job postings citing Python as a proportion of all IT jobs advertised in Burton-upon-Trent.
Python Salary Trend in Burton-upon-Trent
3-month moving average salary quoted in jobs citing Python in Burton-upon-Trent.
Python Top 20 Co-occurring Skills and Capabilities in Burton-upon-Trent
For the 6 months to 21 May 2025, job vacancies citing Python 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 Burton-upon-Trent region with a requirement for Python.
Python Co-occurring Skills and Capabilities in Burton-upon-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:
