Unified Modeling Language (UML) Worcestershire> Worcester
The following table provides summary statistics for permanent job vacancies advertised in Worcester with a requirement for UML skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited UML over the 6 months to 8 May 2024 with a comparison to the same period in the previous 2 years.
6 months to 8 May 2024
Same period 2023
Same period 2022
Rank
21
-
-
Rank change year-on-year
-
-
-
Permanent jobs citing UML
1
0
0
As % of all permanent jobs advertised in Worcester
UML is in the Processes and Methodologies category. The following table is for comparison with the above and provides summary statistics for all permanent job vacancies advertised in Worcester with a requirement for process or methodology skills.
Permanent vacancies with a requirement for process or methodology skills
90
54
76
As % of all permanent jobs advertised in Worcester
72.00%
98.18%
93.83%
Number of salaries quoted
81
37
69
10th Percentile
£25,750
£26,375
£32,250
25th Percentile
£30,000
£37,500
£41,500
Median annual salary (50th Percentile)
£45,000
£41,250
£50,000
Median % change year-on-year
+9.09%
-17.50%
+11.11%
75th Percentile
£50,000
£60,000
£56,500
90th Percentile
£60,000
£66,600
£60,625
Worcestershire median annual salary
£45,000
£45,000
£45,000
% change year-on-year
-
-
+12.50%
UML Job Vacancy Trend in Worcester
Job postings citing UML as a proportion of all IT jobs advertised in Worcester.
UML Salary Trend in Worcester
3-month moving average salary quoted in jobs citing UML in Worcester.
UML Top 30 Co-occurring Skills and Capabilities in Worcester
For the 6 months to 8 May 2024, 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 permanent job ads across the Worcester region with a requirement for UML.
UML Co-occurring Skills and Capabilities in Worcester 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:
