The table below looks at the prevalence of the term Data Structures in permanent job vacancies in St Albans. Included is a benchmarking guide to the salaries offered in vacancies that cited Data Structures over the 6 months leading up to 3 May 2025, comparing them to the same period in the previous two years.
6 months to 3 May 2025
Same period 2024
Same period 2023
Rank
10
14
-
Rank change year-on-year
+4
-
-
Permanent jobs citing Data Structures
1
10
0
As % of all permanent jobs advertised in St Albans
Data Structures falls under the General and Transferable Skills category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring generic IT skills in St Albans.
Permanent vacancies with a requirement for generic IT skills
12
37
57
As % of all permanent jobs advertised in St Albans
30.77%
36.63%
45.60%
Number of salaries quoted
6
37
20
10th Percentile
£56,875
£27,600
£35,325
25th Percentile
£61,250
£45,000
£47,500
Median annual salary (50th Percentile)
£65,000
£65,000
£55,000
Median % change year-on-year
-
+18.18%
+7.32%
75th Percentile
£74,188
£87,500
£57,500
90th Percentile
£90,500
£115,000
£63,375
Hertfordshire median annual salary
£60,000
£52,000
£55,000
% change year-on-year
+15.38%
-5.45%
-
Data Structures Job Vacancy Trend in St Albans
Job postings citing Data Structures as a proportion of all IT jobs advertised in St Albans.
Data Structures Salary Trend in St Albans
3-month moving average salary quoted in jobs citing Data Structures in St Albans.
Data Structures Top 18 Co-occurring Skills and Capabilities in St Albans
For the 6 months to 3 May 2025, job vacancies citing Data Structures 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 St Albans region with a requirement for Data Structures.
Data Structures Co-occurring Skills and Capabilities in St Albans 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:
