SQL (Structured Query Language)
West Yorkshire > Elland
The table below provides summary statistics and salary benchmarking for jobs advertised in Elland requiring SQL skills. It covers vacancies from the 6 months leading up to 30 August 2025, with comparisons to the same periods in the previous two years.
| 6 months to 30 Aug 2025 |
Same period 2024 | Same period 2023 | |
|---|---|---|---|
| Rank | 5 | - | - |
| Rank change year-on-year | - | - | - |
| Permanent jobs citing SQL | 4 | 0 | 0 |
| As % of all permanent jobs advertised in Elland | 19.05% | - | - |
| As % of the Programming Languages category | 100.00% | - | - |
| Number of salaries quoted | 3 | 0 | 0 |
| 10th Percentile | - | - | - |
| 25th Percentile | £40,000 | - | - |
| Median annual salary (50th Percentile) | £42,000 | - | - |
| 75th Percentile | £44,000 | - | - |
| 90th Percentile | - | - | - |
| West Yorkshire median annual salary | £60,000 | £47,500 | £51,500 |
| % change year-on-year | +26.32% | -7.77% | +3.00% |
All Programming Languages
Elland
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 Elland.
| Permanent vacancies with a requirement for coding skills | 4 | 0 | 0 |
| As % of all permanent jobs advertised in Elland | 19.05% | - | - |
| Number of salaries quoted | 3 | 0 | 0 |
| 10th Percentile | - | - | - |
| 25th Percentile | £40,000 | - | - |
| Median annual salary (50th Percentile) | £42,000 | - | - |
| 75th Percentile | £44,000 | - | - |
| 90th Percentile | - | - | - |
| West Yorkshire median annual salary | £60,000 | £55,000 | £57,500 |
| % change year-on-year | +9.09% | -4.35% | +9.52% |
SQL
Job Vacancy Trend in Elland
Job postings citing SQL as a proportion of all IT jobs advertised in Elland.
SQL
Salary Trend in Elland
Salary distribution trend for jobs in Elland citing SQL.
SQL
Co-occurring Skills and Capabilities in Elland by Category
The follow tables expand on the table above by listing co-occurrences grouped by category. The same employment type, locality and period is covered with up to 20 co-occurrences shown in each of the following categories: