SQL (Structured Query Language)
Rutland > Oakham
The following table provides summary statistics for permanent job vacancies advertised in Oakham with a requirement for SQL skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited SQL over the 6 months to 30 April 2024 with a comparison to the same period in the previous 2 years.
| 6 months to 30 Apr 2024 |
Same period 2023 | Same period 2022 | |
|---|---|---|---|
| Rank | 1 | - | 1 |
| Rank change year-on-year | - | - | - |
| Permanent jobs citing SQL | 9 | 0 | 1 |
| As % of all permanent jobs advertised in Oakham | 90.00% | - | 100.00% |
| As % of the Programming Languages category | 100.00% | - | 100.00% |
| Number of salaries quoted | 6 | 0 | 1 |
| 10th Percentile | - | - | - |
| 25th Percentile | - | - | £26,250 |
| Median annual salary (50th Percentile) | £53,635 | - | £27,500 |
| 75th Percentile | £55,831 | - | £28,750 |
| 90th Percentile | £56,563 | - | - |
| Rutland median annual salary | £53,635 | - | £26,500 |
All Programming Languages
Oakham
SQL is in the Programming Languages category. The following table is for comparison with the above and provides summary statistics for all permanent job vacancies advertised in Oakham with a requirement for coding skills.
| Permanent vacancies with a requirement for coding skills | 9 | 0 | 1 |
| As % of all permanent jobs advertised in Oakham | 90.00% | - | 100.00% |
| Number of salaries quoted | 6 | 0 | 1 |
| 10th Percentile | - | - | - |
| 25th Percentile | - | - | £26,250 |
| Median annual salary (50th Percentile) | £53,635 | - | £27,500 |
| 75th Percentile | £55,831 | - | £28,750 |
| 90th Percentile | £56,563 | - | - |
| Rutland median annual salary | £53,635 | - | £60,000 |
SQL
Job Vacancy Trend in Oakham
Job postings citing SQL as a proportion of all IT jobs advertised in Oakham.
SQL
Salary Trend in Oakham
3-month moving average salary quoted in jobs citing SQL in Oakham.
SQL
Co-occurring Skills and Capabilities in Oakham 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: