The following table provides summary statistics for permanent job vacancies advertised in Slough 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 28 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 Slough 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
28
111
38
As % of all permanent jobs advertised in Slough
20.29%
40.81%
17.04%
Number of salaries quoted
27
31
34
10th Percentile
£48,750
£36,750
£31,925
25th Percentile
£51,250
£47,500
£47,500
Median annual salary (50th Percentile)
£67,500
£65,000
£60,000
Median % change year-on-year
+3.85%
+8.33%
+9.09%
75th Percentile
£71,250
£71,250
£64,688
90th Percentile
£73,750
£72,500
£71,250
Berkshire median annual salary
£65,000
£65,000
£60,000
% change year-on-year
-
+8.33%
+4.35%
Node.js Job Vacancy Trend in Slough
Job postings citing Node.js as a proportion of all IT jobs advertised in Slough.
Node.js Salary Trend in Slough
3-month moving average salary quoted in jobs citing Node.js in Slough.
Node.js Salary Histogram in Slough
Salary distribution for jobs citing Node.js in Slough over the 6 months to 28 April 2024.
Node.js Top 30 Co-occurring Skills and Capabilities in Slough
For the 6 months to 28 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 Slough region with a requirement for Node.js.
Node.js Co-occurring Skills and Capabilities in Slough 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:
