The table below provides summary statistics for permanent job vacancies advertised in Newcastle upon Tyne requiring T-SQL skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited T-SQL over the 6 months leading up to 5 May 2025, comparing them to the same period in the previous two years.
6 months to 5 May 2025
Same period 2024
Same period 2023
Rank
40
77
74
Rank change year-on-year
+37
-3
-29
Permanent jobs citing T-SQL
3
7
13
As % of all permanent jobs advertised in Newcastle upon Tyne
T-SQL 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 Newcastle upon Tyne.
Permanent vacancies with a requirement for coding skills
124
254
300
As % of all permanent jobs advertised in Newcastle upon Tyne
40.13%
24.95%
38.31%
Number of salaries quoted
108
232
185
10th Percentile
£38,750
£33,500
£38,260
25th Percentile
£42,500
£41,500
£47,500
Median annual salary (50th Percentile)
£55,000
£55,000
£55,000
Median % change year-on-year
-
-
+10.00%
75th Percentile
£71,632
£71,435
£67,500
90th Percentile
£87,625
£83,759
£76,900
Tyne and Wear median annual salary
£55,000
£56,250
£55,000
% change year-on-year
-2.22%
+2.27%
+12.97%
T-SQL Job Vacancy Trend in Newcastle upon Tyne
Job postings citing T-SQL as a proportion of all IT jobs advertised in Newcastle upon Tyne.
T-SQL Salary Trend in Newcastle upon Tyne
3-month moving average salary quoted in jobs citing T-SQL in Newcastle upon Tyne.
T-SQL Top 14 Co-occurring Skills and Capabilities in Newcastle upon Tyne
For the 6 months to 5 May 2025, job vacancies citing T-SQL 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 Newcastle upon Tyne region with a requirement for T-SQL.
T-SQL Co-occurring Skills and Capabilities in Newcastle upon Tyne 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:
