The table below provides summary statistics for permanent job vacancies advertised in Winchester requiring SQLite skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited SQLite over the 6 months leading up to 3 May 2025, comparing them to the same period in the previous two years.
6 months to 3 May 2025
Same period 2024
Same period 2023
Rank
6
30
14
Rank change year-on-year
+24
-16
+29
Permanent jobs citing SQLite
9
1
3
As % of all permanent jobs advertised in Winchester
SQLite falls under the Databases and Business Intelligence category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring database or business intelligence skills in Winchester.
Permanent vacancies with a requirement for database or business intelligence skills
17
23
20
As % of all permanent jobs advertised in Winchester
34.00%
26.44%
28.99%
Number of salaries quoted
10
5
17
10th Percentile
-
£51,000
£29,900
25th Percentile
£47,500
£56,250
£37,500
Median annual salary (50th Percentile)
£50,000
£60,000
£50,000
Median % change year-on-year
-16.67%
+20.00%
-
75th Percentile
£52,500
£65,000
£52,500
90th Percentile
£53,125
£67,250
-
Hampshire median annual salary
£55,000
£55,000
£55,000
% change year-on-year
-
-
+10.00%
SQLite Job Vacancy Trend in Winchester
Job postings citing SQLite as a proportion of all IT jobs advertised in Winchester.
SQLite Salary Trend in Winchester
3-month moving average salary quoted in jobs citing SQLite in Winchester.
SQLite Top 18 Co-occurring Skills and Capabilities in Winchester
For the 6 months to 3 May 2025, job vacancies citing SQLite 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 Winchester region with a requirement for SQLite.
SQLite Co-occurring Skills and Capabilities in Winchester 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:
