For comparison with the information above, the following table provides summary statistics for all contract IT job vacancies in Birmingham. Most job vacancies include a discernible job title that can be normalized. As such, the figures in the second row provide an indication of the number of contract jobs in our overall sample.
Contract vacancies in Birmingham with a recognized job title
593
668
738
% of contract IT jobs with a recognized job title
90.26%
94.89%
95.35%
Number of daily rates quoted
402
432
503
10th Percentile
£243
£200
£228
25th Percentile
£363
£350
£375
Median daily rate (50th Percentile)
£475
£500
£475
Median % change year-on-year
-5.00%
+5.26%
-
75th Percentile
£564
£608
£600
90th Percentile
£650
£738
£688
West Midlands median daily rate
£500
£500
£475
% change year-on-year
-
+5.26%
-4.04%
Number of hourly rates quoted
36
12
22
10th Percentile
-
£15.75
£14.60
25th Percentile
£12.62
£21.06
£15.75
Median hourly rate
£21.28
£25.06
£28.02
Median % change year-on-year
-15.11%
-10.55%
+47.47%
75th Percentile
£26.51
£53.19
£67.50
90th Percentile
£30.15
£57.05
-
West Midlands median hourly rate
£25.15
£23.05
£22.20
% change year-on-year
+9.11%
+3.85%
+25.25%
Python Developer Job Vacancy Trend in Birmingham
Historical trend showing the proportion of contract IT job postings featuring 'Python Developer' in the job title relative to all contract IT jobs advertised in Birmingham.
Python Developer Daily Rate Trend in Birmingham
Contractor daily rate distribution trend for Python Developer job vacancies in Birmingham.
Python Developer Skill Set Top 8 Co-Occurring Skills & Capabilities in Birmingham
For the 6 months to 4 November 2025, Python Developer contract job roles required the following skills and capabilities in order of popularity.
The figures indicate the absolute number of co-occurrences and as a proportion of all contract job ads across the Birmingham region featuring Python Developer in the job title.
Python Developer Skill Set Co-Occurring Skills & Capabilities in Birmingham by Category
The following tables expand on the one above by listing co-occurrences grouped by category. They cover the same employment type, locality and period, with up to 20 co-occurrences shown in each category:
