SQL (Structured Query Language)
North Yorkshire > Scarborough
The table below provides summary statistics and salary benchmarking for jobs advertised in Scarborough requiring SQL skills. It covers permanent job vacancies from the 6 months leading up to 16 December 2025, with comparisons to the same periods in the previous two years.
|
|
6 months to
16 Dec 2025 |
Same period 2024 |
Same period 2023 |
| Rank |
3 |
- |
2 |
| Rank change year-on-year |
- |
- |
- |
| Permanent jobs citing SQL |
1 |
0 |
4 |
| As % of all permanent jobs in Scarborough |
10.00% |
- |
66.67% |
| As % of the Programming Languages category |
100.00% |
- |
80.00% |
| Number of salaries quoted |
1 |
0 |
0 |
| Median annual salary (50th Percentile) |
£50,000 |
- |
- |
| North Yorkshire median annual salary |
£42,500 |
£52,500 |
£47,500 |
| % change year-on-year |
-19.05% |
+10.53% |
-20.83% |
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 Scarborough.
| Permanent vacancies with a requirement for coding skills |
1 |
1 |
5 |
| As % of all permanent jobs advertised in Scarborough |
10.00% |
50.00% |
83.33% |
| Number of salaries quoted |
1 |
1 |
1 |
| 10th Percentile |
- |
- |
- |
| 25th Percentile |
- |
- |
£31,250 |
| Median annual salary (50th Percentile) |
£50,000 |
£55,000 |
£32,500 |
| Median % change year-on-year |
-9.09% |
+69.23% |
- |
| 75th Percentile |
- |
- |
£33,750 |
| 90th Percentile |
- |
- |
- |
| North Yorkshire median annual salary |
£45,000 |
£55,000 |
£50,000 |
| % change year-on-year |
-18.18% |
+10.00% |
-4.76% |
SQL
Job Vacancy Trend in Scarborough
Historical trend showing the proportion of permanent IT job postings citing SQL relative to all permanent IT jobs advertised in Scarborough.
SQL
Salary Trend in Scarborough
Salary distribution trend for jobs in Scarborough citing SQL.
SQL
Co-Occurring Skills & Capabilities in Scarborough 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:
