SQL (Structured Query Language)
Kent > Swanley
The table below provides summary statistics and salary benchmarking for jobs advertised in Swanley requiring SQL skills. It covers permanent job vacancies from the 6 months leading up to 24 February 2026, with comparisons to the same periods in the previous two years.
|
|
6 months to 24 Feb 2026 |
Same period 2025 |
Same period 2024 |
| Rank |
4 |
- |
- |
| Rank change year-on-year |
- |
- |
- |
| Permanent jobs citing SQL |
1 |
0 |
0 |
| As % of all permanent jobs in Swanley |
4.35% |
- |
- |
| As % of the Programming Languages category |
100.00% |
- |
- |
| Number of salaries quoted |
1 |
0 |
0 |
| 10th Percentile |
- |
- |
- |
| 25th Percentile |
£62,500 |
- |
- |
| Median annual salary (50th Percentile) |
£65,000 |
- |
- |
| 75th Percentile |
£67,500 |
- |
- |
| 90th Percentile |
- |
- |
- |
| Kent median annual salary |
£42,500 |
£40,000 |
£54,500 |
| % change year-on-year |
+6.25% |
-26.61% |
+3.81% |
SQL 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 Swanley.
| Permanent vacancies with a requirement for coding skills |
1 |
0 |
1 |
| As % of all permanent jobs advertised in Swanley |
4.35% |
- |
25.00% |
| Number of salaries quoted |
1 |
0 |
1 |
| 10th Percentile |
- |
- |
- |
| 25th Percentile |
£62,500 |
- |
£48,750 |
| Median annual salary (50th Percentile) |
£65,000 |
- |
£52,500 |
| 75th Percentile |
£67,500 |
- |
£56,250 |
| 90th Percentile |
- |
- |
- |
| Kent median annual salary |
£52,500 |
£47,500 |
£55,000 |
| % change year-on-year |
+10.53% |
-13.64% |
- |
SQL
Job Vacancy Trend in Swanley
Historical trend showing the proportion of permanent IT job postings citing SQL relative to all permanent IT jobs advertised in Swanley.
SQL
Salary Trend in Swanley
Salary distribution trend for jobs in Swanley citing SQL.
SQL
Co-Occurring Skills & Capabilities in Swanley 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: