The following table provides summary statistics for permanent job vacancies advertised in Staines 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 13 May 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 Staines 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
20
23
19
As % of all permanent jobs advertised in Staines
42.55%
41.82%
18.45%
Number of salaries quoted
20
21
18
10th Percentile
£50,750
£51,250
-
25th Percentile
£52,500
£82,500
£62,500
Median annual salary (50th Percentile)
£57,500
£90,000
£65,000
Median % change year-on-year
-36.11%
+38.46%
-
75th Percentile
£65,000
£92,500
£67,500
90th Percentile
-
£100,000
£92,500
Surrey median annual salary
£55,000
£62,500
£60,000
% change year-on-year
-12.00%
+4.17%
+9.09%
Twitter Bootstrap Job Vacancy Trend in Staines
Job postings citing Twitter Bootstrap as a proportion of all IT jobs advertised in Staines.
Twitter Bootstrap Salary Trend in Staines
3-month moving average salary quoted in jobs citing Twitter Bootstrap in Staines.
Twitter Bootstrap Top 26 Co-occurring Skills and Capabilities in Staines
For the 6 months to 13 May 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 Staines region with a requirement for Twitter Bootstrap.
Twitter Bootstrap Co-occurring Skills and Capabilities in Staines 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:
