The following table provides summary statistics for permanent job vacancies advertised in Stockton-on-Tees 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 5 May 2024 with a comparison to the same period in the previous 2 years.
6 months to 5 May 2024
Same period 2023
Same period 2022
Rank
23
18
-
Rank change year-on-year
-5
-
-
Permanent jobs citing Python
1
1
0
As % of all permanent jobs advertised in Stockton-on-Tees
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 Stockton-on-Tees with a requirement for coding skills.
Permanent vacancies with a requirement for coding skills
22
21
37
As % of all permanent jobs advertised in Stockton-on-Tees
22.68%
44.68%
37.37%
Number of salaries quoted
12
15
34
10th Percentile
£41,250
£38,550
£32,500
25th Percentile
£44,063
-
£37,500
Median annual salary (50th Percentile)
£50,000
£40,000
£40,000
Median % change year-on-year
+25.00%
-
+33.33%
75th Percentile
£59,688
£40,875
£43,750
90th Percentile
£62,500
£47,000
£46,250
Durham median annual salary
£54,875
£43,250
£40,000
% change year-on-year
+26.88%
+8.13%
+5.61%
Python Job Vacancy Trend in Stockton-on-Tees
Job postings citing Python as a proportion of all IT jobs advertised in Stockton-on-Tees.
Python Salary Trend in Stockton-on-Tees
3-month moving average salary quoted in jobs citing Python in Stockton-on-Tees.
Python Top 6 Co-occurring Skills and Capabilities in Stockton-on-Tees
For the 6 months to 5 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 Stockton-on-Tees region with a requirement for Python.
Python Co-occurring Skills and Capabilities in Stockton-on-Tees 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:
