Relational Database
Kent > Rochester
The table below provides summary statistics and salary benchmarking for jobs advertised in Rochester requiring Relational Database skills. It covers permanent job vacancies from the 6 months leading up to 15 December 2025, with comparisons to the same periods in the previous two years.
| 6 months to 15 Dec 2025 |
Same period 2024 | Same period 2023 | |
|---|---|---|---|
| Rank | 12 | - | - |
| Rank change year-on-year | - | - | - |
| Permanent jobs citing Relational Database | 1 | 0 | 0 |
| As % of all permanent jobs in Rochester | 1.72% | - | - |
| As % of the Database & Business Intelligence category | 100.00% | - | - |
| Number of salaries quoted | 1 | 0 | 0 |
| Median annual salary (50th Percentile) | £55,000 | - | - |
| Kent median annual salary | £55,000 | - | £65,000 |
| % change year-on-year | - | - | +18.18% |
All Database and Business Intelligence Skills
Rochester
Relational Database falls under the Databases and Business Intelligence category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring database or business intelligence skills in Rochester.
| Permanent vacancies with a requirement for database or business intelligence skills | 1 | 0 | 0 |
| As % of all permanent jobs advertised in Rochester | 1.72% | - | - |
| Number of salaries quoted | 1 | 0 | 0 |
| Median annual salary (50th Percentile) | £55,000 | - | - |
| Kent median annual salary | £58,750 | £60,000 | £56,250 |
| % change year-on-year | -2.08% | +6.67% | +2.27% |
Relational Database
Job Vacancy Trend in Rochester
Historical trend showing the proportion of permanent IT job postings citing Relational Database relative to all permanent IT jobs advertised in Rochester.
Relational Database
Salary Trend in Rochester
Salary distribution trend for jobs in Rochester citing Relational Database.
Relational Database
Co-Occurring Skills & Capabilities in Rochester 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: