Software Licensing
Gloucestershire > Stroud
The table below provides summary statistics and salary benchmarking for jobs advertised in Stroud requiring Software Licensing skills. It covers permanent job vacancies from the 6 months leading up to 30 October 2025, with comparisons to the same periods in the previous two years.
| 6 months to 30 Oct 2025 |
Same period 2024 | Same period 2023 | |
|---|---|---|---|
| Rank | 4 | - | - |
| Rank change year-on-year | - | - | - |
| Permanent jobs citing Software Licensing | 2 | 0 | 0 |
| As % of all permanent jobs in Stroud | 15.38% | - | - |
| As % of the Processes & Methodologies category | 20.00% | - | - |
| Number of salaries quoted | 2 | 0 | 0 |
| 10th Percentile | £37,750 | - | - |
| 25th Percentile | £38,125 | - | - |
| Median annual salary (50th Percentile) | £42,500 | - | - |
| 75th Percentile | £48,125 | - | - |
| 90th Percentile | £49,250 | - | - |
| Gloucestershire median annual salary | £42,500 | - | £28,030 |
| % change year-on-year | - | - | -34.81% |
All Process and Methodology Skills
Stroud
Software Licensing 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 Stroud.
| Permanent vacancies with a requirement for process or methodology skills | 10 | 13 | 7 |
| As % of all permanent jobs advertised in Stroud | 76.92% | 100.00% | 100.00% |
| Number of salaries quoted | 5 | 10 | 7 |
| 10th Percentile | £38,500 | - | - |
| 25th Percentile | £40,000 | £27,500 | £32,500 |
| Median annual salary (50th Percentile) | £45,000 | £45,000 | £40,000 |
| Median % change year-on-year | - | +12.50% | +13.80% |
| 75th Percentile | £70,000 | £52,500 | £42,500 |
| 90th Percentile | - | £53,000 | £44,500 |
| Gloucestershire median annual salary | £53,000 | £55,000 | £57,500 |
| % change year-on-year | -3.64% | -4.35% | +9.52% |
Software Licensing
Co-Occurring Skills & Capabilities in Stroud 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: