The table below looks at the prevalence of the term Data Structures in permanent job vacancies in Bournemouth. Included is a benchmarking guide to the salaries offered in vacancies that cited Data Structures over the 6 months leading up to 5 May 2025, comparing them to the same period in the previous two years.
6 months to 5 May 2025
Same period 2024
Same period 2023
Rank
13
-
-
Rank change year-on-year
-
-
-
Permanent jobs citing Data Structures
4
0
0
As % of all permanent jobs advertised in Bournemouth
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 Bournemouth.
Permanent vacancies with a requirement for generic IT skills
9
267
86
As % of all permanent jobs advertised in Bournemouth
15.25%
41.52%
47.78%
Number of salaries quoted
6
87
47
10th Percentile
£33,000
£30,283
£30,650
25th Percentile
£36,688
£37,500
£36,250
Median annual salary (50th Percentile)
£47,500
£47,500
£45,000
Median % change year-on-year
-
+5.56%
-18.18%
75th Percentile
£68,438
£59,375
£54,000
90th Percentile
£81,250
£69,250
£92,000
Dorset median annual salary
£45,000
£45,000
£45,000
% change year-on-year
-
-
-8.16%
Data Structures Job Vacancy Trend in Bournemouth
Job postings citing Data Structures as a proportion of all IT jobs advertised in Bournemouth.
Data Structures Salary Trend in Bournemouth
3-month moving average salary quoted in jobs citing Data Structures in Bournemouth.
Data Structures Top 15 Co-occurring Skills and Capabilities in Bournemouth
For the 6 months to 5 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 Bournemouth region with a requirement for Data Structures.
Data Structures Co-occurring Skills and Capabilities in Bournemouth 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:
