The following table provides summary statistics for permanent job vacancies advertised in Winchester with a requirement for SQLite skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited SQLite over the 6 months to 2 May 2024 with a comparison to the same period in the previous 2 years.
6 months to 2 May 2024
Same period 2023
Same period 2022
Rank
30
14
43
Rank change year-on-year
-16
+29
-
Permanent jobs citing SQLite
1
3
5
As % of all permanent jobs advertised in Winchester
SQLite is in the Databases and Business Intelligence category. The following table is for comparison with the above and provides summary statistics for all permanent job vacancies advertised in Winchester with a requirement for database or business intelligence skills.
Permanent vacancies with a requirement for database or business intelligence skills
23
20
81
As % of all permanent jobs advertised in Winchester
26.44%
28.99%
34.91%
Number of salaries quoted
5
17
78
10th Percentile
£51,000
£29,900
£37,000
25th Percentile
£56,250
£37,500
£42,000
Median annual salary (50th Percentile)
£60,000
£50,000
£50,000
Median % change year-on-year
+20.00%
-
-
75th Percentile
£65,000
£52,500
£59,750
90th Percentile
£67,250
-
£66,250
Hampshire median annual salary
£55,000
£55,000
£50,000
% 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 17 Co-occurring Skills and Capabilities in Winchester
For the 6 months to 2 May 2024, 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:
