The table below provides summary statistics and salary benchmarking for jobs advertised in Lancaster requiring GitHub skills. It covers permanent job vacancies from the 6 months leading up to 11 May 2026, with comparisons to the same periods in the previous two years.
|
|
6 months to
11 May 2026 |
Same period 2025 |
Same period 2024 |
| Rank |
17 |
- |
- |
| Rank change year-on-year |
- |
- |
- |
| Permanent jobs citing GitHub |
1 |
0 |
0 |
| As % of all permanent jobs in Lancaster |
1.04% |
- |
- |
| As % of the Cloud Services category |
50.00% |
- |
- |
| Number of salaries quoted |
1 |
0 |
0 |
| 10th Percentile |
- |
- |
- |
| 25th Percentile |
£38,750 |
- |
- |
| Median annual salary (50th Percentile) |
£42,500 |
- |
- |
| 75th Percentile |
£46,250 |
- |
- |
| 90th Percentile |
- |
- |
- |
| Lancashire median annual salary |
£42,500 |
£60,500 |
£50,000 |
| % change year-on-year |
-29.75% |
+21.00% |
-9.09% |
GitHub falls under the Cloud Services category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring cloud computing skills in Lancaster.
| Permanent vacancies with a requirement for cloud computing skills |
2 |
2 |
39 |
| As % of all permanent jobs advertised in Lancaster |
2.08% |
4.26% |
33.62% |
| Number of salaries quoted |
2 |
2 |
36 |
| 10th Percentile |
£39,950 |
- |
£34,125 |
| 25th Percentile |
£41,750 |
£60,401 |
£38,750 |
| Median annual salary (50th Percentile) |
£47,589 |
£62,205 |
£46,250 |
| Median % change year-on-year |
-23.50% |
+34.50% |
- |
| 75th Percentile |
£52,518 |
£64,010 |
£62,250 |
| 90th Percentile |
£53,771 |
- |
£63,000 |
| Lancashire median annual salary |
£43,750 |
£47,500 |
£50,000 |
| % change year-on-year |
-7.89% |
-5.00% |
+9.29% |
GitHub
Job Vacancy Trend in Lancaster
Historical trend showing the proportion of permanent IT job postings citing GitHub relative to all permanent IT jobs advertised in Lancaster.
GitHub
Co-Occurring Skills & Capabilities in Lancaster 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:
