The following table provides summary statistics for permanent job vacancies advertised in Southend-on-Sea with a requirement for Python skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited Python over the 6 months to 14 May 2024 with a comparison to the same period in the previous 2 years.
6 months to 14 May 2024
Same period 2023
Same period 2022
Rank
7
18
13
Rank change year-on-year
+11
-5
+15
Permanent jobs citing Python
1
9
7
As % of all permanent jobs advertised in Southend-on-Sea
Python is in the Programming Languages category. The following table is for comparison with the above and provides summary statistics for all permanent job vacancies advertised in Southend-on-Sea with a requirement for coding skills.
Permanent vacancies with a requirement for coding skills
2
32
26
As % of all permanent jobs advertised in Southend-on-Sea
7.14%
37.21%
36.62%
Number of salaries quoted
1
17
23
10th Percentile
-
-
£33,750
25th Percentile
£35,500
£43,015
£36,250
Median annual salary (50th Percentile)
£38,000
£44,535
£47,500
Median % change year-on-year
-14.67%
-6.24%
-20.83%
75th Percentile
£40,500
£85,000
£63,125
90th Percentile
-
-
£65,000
Essex median annual salary
£47,500
£52,500
£45,000
% change year-on-year
-9.52%
+16.67%
-5.26%
Python Job Vacancy Trend in Southend-on-Sea
Job postings citing Python as a proportion of all IT jobs advertised in Southend-on-Sea.
Python Salary Trend in Southend-on-Sea
3-month moving average salary quoted in jobs citing Python in Southend-on-Sea.
Python Top 30 Co-occurring Skills and Capabilities in Southend-on-Sea
For the 6 months to 14 May 2024, job vacancies citing Python 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 Southend-on-Sea region with a requirement for Python.
Python Co-occurring Skills and Capabilities in Southend-on-Sea 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:
