The following table provides summary statistics for permanent job vacancies advertised in Preston 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 27 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 Preston 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
37
25
51
As % of all permanent jobs advertised in Preston
16.59%
9.40%
19.62%
Number of salaries quoted
24
20
18
10th Percentile
£30,250
-
£26,000
25th Percentile
£35,000
£37,250
£40,000
Median annual salary (50th Percentile)
£37,500
£42,299
£42,500
Median % change year-on-year
-11.34%
-0.47%
-
75th Percentile
£48,125
£47,669
£56,250
90th Percentile
£57,500
£52,625
£58,250
Lancashire median annual salary
£50,000
£47,500
£50,000
% change year-on-year
+5.26%
-5.00%
+25.00%
Twitter Bootstrap Job Vacancy Trend in Preston
Job postings citing Twitter Bootstrap as a proportion of all IT jobs advertised in Preston.
Twitter Bootstrap Salary Trend in Preston
3-month moving average salary quoted in jobs citing Twitter Bootstrap in Preston.
Twitter Bootstrap Top 20 Co-occurring Skills and Capabilities in Preston
For the 6 months to 27 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 Preston region with a requirement for Twitter Bootstrap.
Twitter Bootstrap Co-occurring Skills and Capabilities in Preston 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:
