The table below provides summary statistics for contract job vacancies advertised in Reading requiring npm skills. It includes a benchmarking guide to the contractor rates offered in vacancies that cited npm over the 6 months leading up to 1 May 2025, comparing them to the same period in the previous two years.
npm falls under the Cloud Services category. For comparison with the information above, the following table provides summary statistics for all contract job vacancies requiring cloud computing skills in Reading.
Contract vacancies with a requirement for cloud computing skills
201
369
320
As % of all contract IT jobs advertised in Reading
33.67%
30.96%
30.74%
Number of daily rates quoted
128
275
247
10th Percentile
£343
£381
£413
25th Percentile
£444
£484
£500
Median daily rate (50th Percentile)
£575
£600
£560
Median % change year-on-year
-4.17%
+7.14%
+7.69%
75th Percentile
£638
£638
£663
90th Percentile
£675
£688
£725
Berkshire median daily rate
£525
£550
£550
% change year-on-year
-4.55%
-
+10.00%
Number of hourly rates quoted
2
7
7
10th Percentile
£33.82
£56.50
£38.59
25th Percentile
£41.05
£56.58
£53.00
Median hourly rate
£53.10
£58.30
£75.50
Median % change year-on-year
-8.93%
-22.78%
+211.34%
75th Percentile
£65.14
£59.95
£79.19
90th Percentile
£72.37
£60.61
-
Berkshire median hourly rate
£32.05
£58.30
£33.50
% change year-on-year
-45.03%
+74.03%
+53.85%
npm Job Vacancy Trend in Reading
Job postings citing npm as a proportion of all IT jobs advertised in Reading.
npm Contractor Daily Rate Trend in Reading
3-month moving average daily rate quoted in jobs citing npm in Reading.
npm Top 21 Co-occurring Skills and Capabilities in Reading
For the 6 months to 1 May 2025, contractor job vacancies citing npm 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 Reading region with a requirement for npm.
npm Co-occurring Skills and Capabilities in Reading 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:
