User Acceptance Testing (UAT) South Wales> Newport
The table below provides summary statistics and salary benchmarking for jobs advertised in Newport requiring User Acceptance Testing skills. It covers permanent job vacancies from the 6 months leading up to 4 November 2025, with comparisons to the same periods in the previous two years.
User Acceptance Testing 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 Newport.
Permanent vacancies with a requirement for process or methodology skills
125
37
86
As % of all permanent jobs advertised in Newport
90.58%
47.44%
97.73%
Number of salaries quoted
77
34
82
10th Percentile
£28,150
£34,000
£32,350
25th Percentile
£40,750
£36,750
£37,945
Median annual salary (50th Percentile)
£52,500
£47,250
£47,500
Median % change year-on-year
+11.11%
-0.53%
-5.00%
75th Percentile
£67,500
£54,313
£62,500
90th Percentile
£75,000
£90,875
£68,497
South Wales median annual salary
£50,000
£48,000
£50,000
% change year-on-year
+4.17%
-4.00%
-1.96%
User Acceptance Testing Job Vacancy Trend in Newport
Historical trend showing the proportion of permanent IT job postings citing User Acceptance Testing relative to all permanent IT jobs advertised in Newport.
User Acceptance Testing Salary Trend in Newport
Salary distribution trend for jobs in Newport citing User Acceptance Testing.
User Acceptance Testing Top 7 Co-Occurring Skills & Capabilities in Newport
For the 6 months to 4 November 2025, job vacancies citing User Acceptance Testing also mentioned the following skills and capabilities in order of popularity.
The figures indicate the absolute number of co-occurrences and as a proportion of all permanent job ads across the Newport region with a requirement for User Acceptance Testing.
User Acceptance Testing Co-Occurring Skills & Capabilities in Newport by Category
The following tables expand on the one above by listing co-occurrences grouped by category. They cover the same employment type, locality and period, with up to 20 co-occurrences shown in each category:
