The following table provides summary statistics for permanent job vacancies advertised in Burton-upon-Trent with a requirement for Python skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited Python over the 6 months to 7 May 2024 with a comparison to the same period in the previous 2 years.
6 months to 7 May 2024
Same period 2023
Same period 2022
Rank
21
17
21
Rank change year-on-year
-4
+4
-11
Permanent jobs citing Python
1
3
5
As % of all permanent jobs advertised in Burton-upon-Trent
Python is in the Programming Languages category. The following table is for comparison with the above and provides summary statistics for all permanent job vacancies advertised in Burton-upon-Trent with a requirement for coding skills.
Permanent vacancies with a requirement for coding skills
26
23
38
As % of all permanent jobs advertised in Burton-upon-Trent
39.39%
40.35%
44.19%
Number of salaries quoted
23
22
38
10th Percentile
£48,250
£31,075
£24,000
25th Percentile
£51,875
£42,188
£32,750
Median annual salary (50th Percentile)
£60,000
£51,250
£37,500
Median % change year-on-year
+17.07%
+36.67%
+27.12%
75th Percentile
£62,500
£58,438
£57,188
90th Percentile
£63,750
£62,251
£65,000
Staffordshire median annual salary
£47,500
£45,000
£41,500
% change year-on-year
+5.56%
+8.43%
+10.67%
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 10 Co-occurring Skills and Capabilities in Burton-upon-Trent
For the 6 months to 7 May 2024, 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:
