The table below provides summary statistics for permanent job vacancies advertised in Maidstone requiring JSON skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited JSON over the 6 months leading up to 2 May 2025, comparing them to the same period in the previous two years.
6 months to 2 May 2025
Same period 2024
Same period 2023
Rank
13
-
49
Rank change year-on-year
-
-
-23
Permanent jobs citing JSON
1
0
1
As % of all permanent jobs advertised in Maidstone
JSON falls under the Software Libraries and Frameworks category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring technical specification, industry standards, software libraries and framework skills in Maidstone.
Permanent vacancies with a requirement for technical specification, industry standards, software libraries and framework skills
12
14
76
As % of all permanent jobs advertised in Maidstone
19.67%
7.45%
24.20%
Number of salaries quoted
10
14
45
10th Percentile
£26,000
-
-
25th Percentile
£28,125
£40,000
£25,750
Median annual salary (50th Percentile)
£30,000
£47,500
£28,500
Median % change year-on-year
-36.84%
+66.67%
-32.94%
75th Percentile
£64,688
£65,000
£29,250
90th Percentile
£75,000
-
£42,750
Kent median annual salary
£39,000
£55,000
£50,000
% change year-on-year
-29.09%
+10.00%
+13.64%
JSON Job Vacancy Trend in Maidstone
Job postings citing JSON as a proportion of all IT jobs advertised in Maidstone.
JSON Salary Trend in Maidstone
3-month moving average salary quoted in jobs citing JSON in Maidstone.
JSON Top 10 Co-occurring Skills and Capabilities in Maidstone
For the 6 months to 2 May 2025, job vacancies citing JSON 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 Maidstone region with a requirement for JSON.
JSON Co-occurring Skills and Capabilities in Maidstone 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:
