The table below provides summary statistics and salary benchmarking for jobs advertised in Buckinghamshire requiring SignalR skills. It covers permanent job vacancies from the 6 months leading up to 26 October 2025, with comparisons to the same periods in the previous two years.
SignalR falls under the Software Libraries and Frameworks category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring technical specification, industry standards, software libraries and framework skills in Buckinghamshire.
Permanent vacancies with a requirement for technical specification, industry standards, software libraries and framework skills
78
157
208
As % of all permanent jobs advertised in Buckinghamshire
6.26%
14.56%
25.30%
Number of salaries quoted
61
80
136
10th Percentile
£30,500
£32,675
£45,225
25th Percentile
£35,000
£38,750
£52,500
Median annual salary (50th Percentile)
£47,500
£50,000
£67,500
Median % change year-on-year
-5.00%
-25.93%
+12.50%
75th Percentile
£67,500
£60,938
£77,500
90th Percentile
£77,500
£80,250
£89,375
South East median annual salary
£57,500
£58,000
£60,000
% change year-on-year
-0.86%
-3.33%
-
SignalR Job Vacancy Trend in Buckinghamshire
Historical trend showing the proportion of permanent IT job postings citing SignalR relative to all permanent IT jobs advertised in Buckinghamshire.
SignalR Salary Trend in Buckinghamshire
Salary distribution trend for jobs in Buckinghamshire citing SignalR.
SignalR Top 24 Co-Occurring Skills & Capabilities in Buckinghamshire
For the 6 months to 26 October 2025, job vacancies citing SignalR also mentioned the following skills and capabilities in order of popularity.
The figures indicate the absolute number of co-occurrences and as a proportion of all permanent job ads across the Buckinghamshire region with a requirement for SignalR.
SignalR Co-Occurring Skills & Capabilities in Buckinghamshire 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:
