Unified Modeling Language (UML) Hampshire> Petersfield
The table below provides summary statistics for permanent job vacancies advertised in Petersfield requiring UML skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited UML over the 6 months leading up to 4 May 2025, comparing them to the same period in the previous two years.
6 months to 4 May 2025
Same period 2024
Same period 2023
Rank
11
-
-
Rank change year-on-year
-
-
-
Permanent jobs citing UML
2
0
0
As % of all permanent jobs advertised in Petersfield
UML falls under the Processes and Methodologies category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring process or methodology skills in Petersfield.
Permanent vacancies with a requirement for process or methodology skills
32
9
9
As % of all permanent jobs advertised in Petersfield
91.43%
81.82%
100.00%
Number of salaries quoted
19
9
7
10th Percentile
£50,000
£39,750
£35,750
25th Percentile
£55,000
£40,000
£36,000
Median annual salary (50th Percentile)
£60,000
£57,500
£37,500
Median % change year-on-year
+4.35%
+53.33%
-25.00%
75th Percentile
£61,500
£64,500
£45,375
90th Percentile
£70,000
-
£52,200
Hampshire median annual salary
£55,000
£50,000
£53,750
% change year-on-year
+10.00%
-6.98%
+0.23%
UML Job Vacancy Trend in Petersfield
Job postings citing UML as a proportion of all IT jobs advertised in Petersfield.
UML Salary Trend in Petersfield
3-month moving average salary quoted in jobs citing UML in Petersfield.
UML Top 13 Co-occurring Skills and Capabilities in Petersfield
For the 6 months to 4 May 2025, 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 Petersfield region with a requirement for UML.
UML Co-occurring Skills and Capabilities in Petersfield 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:
