Python
Gloucestershire > Filton
The table below provides summary statistics and salary benchmarking for jobs advertised in Filton requiring Python skills. It covers vacancies from the 6 months leading up to 18 September 2025, with comparisons to the same periods in the previous two years.
| 6 months to 18 Sep 2025 |
Same period 2024 | Same period 2023 | |
|---|---|---|---|
| Rank | 12 | 19 | - |
| Rank change year-on-year | +7 | - | - |
| Permanent jobs citing Python | 7 | 3 | 0 |
| As % of all permanent jobs advertised in Filton | 15.56% | 4.92% | - |
| As % of the Programming Languages category | 70.00% | 11.11% | - |
| Number of salaries quoted | 0 | 2 | 0 |
| Median annual salary (50th Percentile) | - | £49,459 | - |
| Gloucestershire median annual salary | £55,000 | £57,500 | £62,500 |
| % change year-on-year | -4.35% | -8.00% | +15.74% |
All Programming Languages
Filton
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 Filton.
| Permanent vacancies with a requirement for coding skills | 10 | 27 | 3 |
| As % of all permanent jobs advertised in Filton | 22.22% | 44.26% | 100.00% |
| Number of salaries quoted | 2 | 20 | 3 |
| 10th Percentile | - | £37,000 | £63,000 |
| 25th Percentile | - | £45,250 | £63,750 |
| Median annual salary (50th Percentile) | £60,000 | £51,250 | £65,000 |
| Median % change year-on-year | +17.07% | -21.15% | +67.74% |
| 75th Percentile | - | £57,500 | £77,500 |
| 90th Percentile | - | £61,250 | £83,500 |
| Gloucestershire median annual salary | £52,500 | £57,500 | £59,556 |
| % change year-on-year | -8.70% | -3.45% | +19.11% |
Python
Job Vacancy Trend in Filton
Job postings citing Python as a proportion of all IT jobs advertised in Filton.
Python
Salary Trend in Filton
Salary distribution trend for jobs in Filton citing Python.
Python
Co-occurring Skills and Capabilities in Filton 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: