The following table provides summary statistics for contract job vacancies advertised in Swindon with a requirement for Node.js skills. Included is a benchmarking guide to the contractor rates offered in vacancies that have cited Node.js over the 6 months to 26 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 contract job vacancies advertised in Swindon with a requirement for technical specification, industry standards, software libraries and framework skills.
Contract vacancies with a requirement for technical specification, industry standards, software libraries and framework skills
8
79
77
As % of all contract IT jobs advertised in Swindon
6.40%
34.05%
24.21%
Number of daily rates quoted
7
63
38
10th Percentile
£565
£403
£439
25th Percentile
£606
£463
£463
Median daily rate (50th Percentile)
£625
£525
£495
Median % change year-on-year
+19.05%
+6.06%
+12.82%
75th Percentile
£664
£588
£541
90th Percentile
£725
£675
£631
Wiltshire median daily rate
£688
£550
£500
% change year-on-year
+25.00%
+10.00%
+8.11%
Node.js Job Vacancy Trend in Swindon
Job postings citing Node.js as a proportion of all IT jobs advertised in Swindon.
Node.js Contractor Daily Rate Trend in Swindon
3-month moving average daily rate quoted in jobs citing Node.js in Swindon.
Node.js Daily Rate Histogram in Swindon
Daily rate distribution for jobs citing Node.js in Swindon over the 6 months to 26 April 2024.
Node.js Top 21 Co-occurring Skills and Capabilities in Swindon
For the 6 months to 26 April 2024, contractor 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 contract job ads across the Swindon region with a requirement for Node.js.
Node.js Co-occurring Skills and Capabilities in Swindon 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:
