The table below provides summary statistics and salary benchmarking for jobs advertised in Swindon requiring Razor View Engine skills. It covers permanent job vacancies from the 6 months leading up to 19 October 2025, with comparisons to the same periods in the previous two years.
Razor View Engine 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 Swindon.
Permanent vacancies with a requirement for technical specification, industry standards, software libraries and framework skills
6
44
36
As % of all permanent jobs advertised in Swindon
3.95%
15.94%
17.65%
Number of salaries quoted
6
29
35
10th Percentile
£36,875
£48,400
£45,500
25th Percentile
£43,125
£52,500
£48,750
Median annual salary (50th Percentile)
£52,500
£65,000
£52,500
Median % change year-on-year
-19.23%
+23.81%
+25.00%
75th Percentile
£65,456
£72,500
£68,125
90th Percentile
£68,525
-
£76,500
Wiltshire median annual salary
£52,500
£67,500
£54,000
% change year-on-year
-22.22%
+25.00%
+13.09%
Razor View Engine Job Vacancy Trend in Swindon
Historical trend showing the proportion of permanent IT job postings citing Razor View Engine relative to all permanent IT jobs advertised in Swindon.
Razor View Engine Salary Trend in Swindon
Salary distribution trend for jobs in Swindon citing Razor View Engine.
Razor View Engine Top 14 Co-Occurring Skills & Capabilities in Swindon
For the 6 months to 19 October 2025, job vacancies citing Razor View Engine 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 Swindon region with a requirement for Razor View Engine.
Razor View Engine Co-Occurring Skills & Capabilities in Swindon 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:
