The following table provides summary statistics for permanent job vacancies advertised in Banbury with a requirement for Twitter Bootstrap skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited Twitter Bootstrap over the 6 months to 25 April 2024 with a comparison to the same period in the previous 2 years.
Twitter Bootstrap 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 Banbury 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
11
8
5
As % of all permanent jobs advertised in Banbury
11.96%
8.08%
12.20%
Number of salaries quoted
8
6
5
10th Percentile
£38,625
-
-
25th Percentile
£41,250
£46,750
£35,000
Median annual salary (50th Percentile)
£42,500
£50,500
£40,000
Median % change year-on-year
-15.84%
+26.25%
-11.11%
75th Percentile
£43,750
£56,250
£42,500
90th Percentile
£47,125
£60,625
-
Oxfordshire median annual salary
£52,500
£55,000
£57,500
% change year-on-year
-4.55%
-4.35%
+15.00%
Twitter Bootstrap Job Vacancy Trend in Banbury
Job postings citing Twitter Bootstrap as a proportion of all IT jobs advertised in Banbury.
Twitter Bootstrap Salary Trend in Banbury
3-month moving average salary quoted in jobs citing Twitter Bootstrap in Banbury.
Twitter Bootstrap Top 15 Co-occurring Skills and Capabilities in Banbury
For the 6 months to 25 April 2024, job vacancies citing Twitter Bootstrap 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 Banbury region with a requirement for Twitter Bootstrap.
Twitter Bootstrap Co-occurring Skills and Capabilities in Banbury 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: