IoT (Internet of Things, Internet of Everything) Tyne and Wear> Sunderland
The table below looks at the prevalence of the term IoT in permanent job vacancies advertised in Sunderland. Included is a benchmarking guide to the salaries offered in vacancies that have cited IoT over the 6 months to 4 May 2024 with a comparison to the same period over the previous 2 years.
6 months to 4 May 2024
Same period 2023
Same period 2022
Rank
34
-
-
Rank change year-on-year
-
-
-
Permanent jobs citing IoT
3
0
0
As % of all permanent jobs advertised in Sunderland
IoT is in the General and Transferable Skills category. The following table is for comparison with the above and provides summary statistics for all permanent job vacancies advertised in Sunderland with a requirement for generic IT skills.
Permanent vacancies with a requirement for generic IT skills
73
33
14
As % of all permanent jobs advertised in Sunderland
46.20%
46.48%
14.89%
Number of salaries quoted
59
7
9
10th Percentile
£40,000
£37,250
£30,200
25th Percentile
£52,500
£37,375
£34,500
Median annual salary (50th Percentile)
£70,000
£40,000
£40,000
Median % change year-on-year
+75.00%
-
+39.13%
75th Percentile
£76,625
£51,650
£47,500
90th Percentile
£86,250
£60,840
£50,732
Tyne and Wear median annual salary
£48,000
£55,000
£47,500
% change year-on-year
-12.73%
+15.79%
+4.40%
IoT Job Vacancy Trend in Sunderland
Job postings citing IoT as a proportion of all IT jobs advertised in Sunderland.
IoT Salary Trend in Sunderland
3-month moving average salary quoted in jobs citing IoT in Sunderland.
IoT Top 12 Co-occurring Skills and Capabilities in Sunderland
For the 6 months to 4 May 2024, job vacancies citing IoT 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 Sunderland region with a requirement for IoT.
IoT Co-occurring Skills and Capabilities in Sunderland 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: