SQL (Structured Query Language) Buckinghamshire> High Wycombe
The following table provides summary statistics for permanent job vacancies advertised in High Wycombe 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 25 April 2024 with a comparison to the same period in the previous 2 years.
6 months to 25 Apr 2024
Same period 2023
Same period 2022
Rank
18
16
7
Rank change year-on-year
-2
-9
+2
Permanent jobs citing SQL
6
7
23
As % of all permanent jobs advertised in High Wycombe
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 High Wycombe with a requirement for coding skills.
Permanent vacancies with a requirement for coding skills
18
10
41
As % of all permanent jobs advertised in High Wycombe
12.86%
12.20%
36.94%
Number of salaries quoted
10
5
11
10th Percentile
£57,500
£36,175
£45,000
25th Percentile
£66,250
£36,250
£48,125
Median annual salary (50th Percentile)
£85,000
£44,000
£55,000
Median % change year-on-year
+93.18%
-20.00%
+4.76%
75th Percentile
-
£47,245
£60,000
90th Percentile
-
£66,898
£67,500
Buckinghamshire median annual salary
£52,501
£52,500
£55,000
% change year-on-year
+0.00%
-4.55%
+10.00%
SQL Job Vacancy Trend in High Wycombe
Job postings citing SQL as a proportion of all IT jobs advertised in High Wycombe.
SQL Salary Trend in High Wycombe
3-month moving average salary quoted in jobs citing SQL in High Wycombe.
SQL Top 25 Co-occurring Skills and Capabilities in High Wycombe
For the 6 months to 25 April 2024, job vacancies citing SQL also mentioned the following skills and capabilities in order of popularity.
The figures indicate the absolute number co-occurrences and as a proportion of all permanent job ads across the High Wycombe region with a requirement for SQL.
SQL Co-occurring Skills and Capabilities in High Wycombe 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:
