Java
North Yorkshire > Ripon
The table below provides summary statistics and salary benchmarking for jobs advertised in Ripon requiring Java skills. It covers permanent job vacancies from the 6 months leading up to 5 February 2026, with comparisons to the same periods in the previous two years.
| 6 months to 5 Feb 2026 |
Same period 2025 | Same period 2024 | |
|---|---|---|---|
| Rank | 6 | - | - |
| Rank change year-on-year | - | - | - |
| Permanent jobs citing Java | 1 | 0 | 0 |
| As % of all permanent jobs in Ripon | 6.67% | - | - |
| As % of the Programming Languages category | 7.69% | - | - |
| Number of salaries quoted | 1 | 0 | 0 |
| 10th Percentile | - | - | - |
| 25th Percentile | £40,750 | - | - |
| Median annual salary (50th Percentile) | £41,500 | - | - |
| 75th Percentile | £42,250 | - | - |
| 90th Percentile | - | - | - |
| North Yorkshire median annual salary | £57,000 | £52,500 | £60,000 |
| % change year-on-year | +8.57% | -12.50% | +14.29% |
All Programming Languages
Ripon
Java 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 Ripon.
| Permanent vacancies with a requirement for coding skills | 13 | 0 | 0 |
| As % of all permanent jobs advertised in Ripon | 86.67% | - | - |
| Number of salaries quoted | 3 | 0 | 0 |
| 10th Percentile | - | - | - |
| 25th Percentile | - | - | - |
| Median annual salary (50th Percentile) | £40,000 | - | - |
| 75th Percentile | £41,125 | - | - |
| 90th Percentile | £41,800 | - | - |
| North Yorkshire median annual salary | £47,500 | £48,750 | £50,000 |
| % change year-on-year | -2.56% | -2.50% | -4.76% |
Java
Job Vacancy Trend in Ripon
Historical trend showing the proportion of permanent IT job postings citing Java relative to all permanent IT jobs advertised in Ripon.
Java
Salary Trend in Ripon
Salary distribution trend for jobs in Ripon citing Java.
Java
Co-Occurring Skills & Capabilities in Ripon 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: