The following table provides summary statistics for permanent job vacancies advertised in Brighton with a requirement for Node.js skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited Node.js over the 6 months to 29 April 2024 with a comparison to the same period in the previous 2 years.
Node.js 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 Brighton 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
153
236
601
As % of all permanent jobs advertised in Brighton
35.25%
35.70%
56.22%
Number of salaries quoted
146
197
426
10th Percentile
£36,250
£34,500
£38,750
25th Percentile
£48,750
£49,500
£46,250
Median annual salary (50th Percentile)
£60,000
£57,808
£60,000
Median % change year-on-year
+3.79%
-3.65%
+14.29%
75th Percentile
£70,000
£70,000
£75,000
90th Percentile
£80,000
£81,250
£85,000
East Sussex median annual salary
£57,500
£57,500
£57,500
% change year-on-year
-
-
+15.00%
Node.js Job Vacancy Trend in Brighton
Job postings citing Node.js as a proportion of all IT jobs advertised in Brighton.
Node.js Salary Trend in Brighton
3-month moving average salary quoted in jobs citing Node.js in Brighton.
Node.js Salary Histogram in Brighton
Salary distribution for jobs citing Node.js in Brighton over the 6 months to 29 April 2024.
Node.js Top 30 Co-occurring Skills and Capabilities in Brighton
For the 6 months to 29 April 2024, job vacancies citing Node.js 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 Brighton region with a requirement for Node.js.
Node.js Co-occurring Skills and Capabilities in Brighton 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:
