The following table provides summary statistics for permanent job vacancies advertised in Reading with a requirement for Regular Expression skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited Regular Expression over the 6 months to 17 April 2024 with a comparison to the same period in the previous 2 years.
Regular Expression is in the Software Libraries and Frameworks category. The following table is for comparison with the above and provides summary statistics for all permanent job vacancies advertised in Reading with a requirement for technical specification, industry standards, software libraries and framework skills.
Permanent vacancies with a requirement for technical specification, industry standards, software libraries and framework skills
372
478
627
As % of all permanent jobs advertised in Reading
21.68%
30.12%
35.87%
Number of salaries quoted
203
309
365
10th Percentile
£39,500
£40,000
£37,500
25th Percentile
£47,500
£52,500
£47,500
Median annual salary (50th Percentile)
£60,000
£67,500
£62,500
Median % change year-on-year
-11.11%
+8.00%
+4.17%
75th Percentile
£72,500
£87,500
£75,000
90th Percentile
£83,750
£101,000
£85,000
Berkshire median annual salary
£65,000
£65,000
£60,000
% change year-on-year
-
+8.33%
+4.35%
Regular Expression Job Vacancy Trend in Reading
Job postings citing Regular Expression as a proportion of all IT jobs advertised in Reading.
Regular Expression Salary Trend in Reading
3-month moving average salary quoted in jobs citing Regular Expression in Reading.
Regular Expression Top 13 Co-occurring Skills and Capabilities in Reading
For the 6 months to 17 April 2024, job vacancies citing Regular Expression 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 Reading region with a requirement for Regular Expression.
Regular Expression Co-occurring Skills and Capabilities in Reading 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: