Unified Modeling Language (UML) Wiltshire> Salisbury
The following table provides summary statistics for contract job vacancies advertised in Salisbury with a requirement for UML skills. Included is a benchmarking guide to the contractor rates offered in vacancies that have cited UML over the 6 months to 26 April 2024 with a comparison to the same period in the previous 2 years.
UML is in the Processes and Methodologies category. The following table is for comparison with the above and provides summary statistics for all contract job vacancies advertised in Salisbury with a requirement for process or methodology skills.
Contract vacancies with a requirement for process or methodology skills
35
106
82
As % of all contract IT jobs advertised in Salisbury
87.50%
88.33%
95.35%
Number of daily rates quoted
26
72
69
10th Percentile
£400
£329
£371
25th Percentile
£431
£413
£413
Median daily rate (50th Percentile)
£525
£545
£450
Median % change year-on-year
-3.67%
+21.11%
-10.00%
75th Percentile
£588
£609
£538
90th Percentile
£620
£671
£608
Wiltshire median daily rate
£545
£575
£519
% change year-on-year
-5.22%
+10.79%
+3.80%
Number of hourly rates quoted
0
0
1
Median hourly rate
-
-
£75.00
Median % change year-on-year
-
-
+536.67%
Wiltshire median hourly rate
£14.54
£68.15
£59.25
% change year-on-year
-78.66%
+15.02%
+18.50%
UML Job Vacancy Trend in Salisbury
Job postings citing UML as a proportion of all IT jobs advertised in Salisbury.
UML Contractor Daily Rate Trend in Salisbury
3-month moving average daily rate quoted in jobs citing UML in Salisbury.
UML Top 15 Co-occurring Skills and Capabilities in Salisbury
For the 6 months to 26 April 2024, contractor job vacancies citing UML 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 Salisbury region with a requirement for UML.
UML Co-occurring Skills and Capabilities in Salisbury 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:
