The table below provides summary statistics for permanent job vacancies advertised in Darlington requiring JavaScript skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited JavaScript 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
13
20
9
Rank change year-on-year
+7
-11
0
Permanent jobs citing JavaScript
1
6
4
As % of all permanent jobs advertised in Darlington
JavaScript falls under the Programming Languages category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring coding skills in Darlington.
Permanent vacancies with a requirement for coding skills
6
26
10
As % of all permanent jobs advertised in Darlington
13.33%
25.24%
16.39%
Number of salaries quoted
6
23
9
10th Percentile
£50,379
£31,250
£37,500
25th Percentile
£64,509
£34,750
£41,250
Median annual salary (50th Percentile)
£69,384
£52,500
£45,000
Median % change year-on-year
+32.16%
+16.67%
+9.09%
75th Percentile
£76,315
£63,750
£50,000
90th Percentile
£88,500
£75,000
£58,250
Durham median annual salary
£69,384
£55,000
£43,250
% change year-on-year
+26.15%
+27.17%
+8.13%
JavaScript Job Vacancy Trend in Darlington
Job postings citing JavaScript as a proportion of all IT jobs advertised in Darlington.
JavaScript Salary Trend in Darlington
3-month moving average salary quoted in jobs citing JavaScript in Darlington.
JavaScript Top 13 Co-occurring Skills and Capabilities in Darlington
For the 6 months to 3 May 2025, job vacancies citing JavaScript 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 Darlington region with a requirement for JavaScript.
JavaScript Co-occurring Skills and Capabilities in Darlington 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:
