The table below provides summary statistics for permanent job vacancies advertised in Colchester requiring SQL skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited SQL over the 6 months leading up to 27 June 2025, comparing them to the same period in the previous two years.
6 months to 27 Jun 2025
Same period 2024
Same period 2023
Rank
5
6
15
Rank change year-on-year
+1
+9
-2
Permanent jobs citing SQL
5
20
8
As % of all permanent jobs advertised in Colchester
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 Colchester.
Permanent vacancies with a requirement for coding skills
9
39
14
As % of all permanent jobs advertised in Colchester
21.43%
27.66%
11.67%
Number of salaries quoted
8
33
6
10th Percentile
£26,250
-
£43,750
25th Percentile
£26,438
£35,000
£48,750
Median annual salary (50th Percentile)
£27,250
£45,000
£67,500
Median % change year-on-year
-39.44%
-33.33%
+17.39%
75th Percentile
£33,438
£61,250
£71,250
90th Percentile
£47,875
£73,750
-
Essex median annual salary
£47,500
£47,500
£47,500
% change year-on-year
-
-
+5.56%
SQL Job Vacancy Trend in Colchester
Job postings citing SQL as a proportion of all IT jobs advertised in Colchester.
SQL Salary Trend in Colchester
3-month moving average salary quoted in jobs citing SQL in Colchester.
SQL Salary Histogram in Colchester
Salary distribution for jobs citing SQL in Colchester over the 6 months to 27 June 2025.
SQL Top 10 Co-occurring Skills and Capabilities in Colchester
For the 6 months to 27 June 2025, 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 Colchester region with a requirement for SQL.
SQL Co-occurring Skills and Capabilities in Colchester 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:
