The table below provides summary statistics for permanent job vacancies advertised in Darlington requiring Microsoft Excel skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited Microsoft Excel over the 6 months leading up to 12 June 2024, comparing them to the same period in the previous two years.
6 months to 12 Jun 2024
Same period 2023
Same period 2022
Rank
20
-
-
Rank change year-on-year
-
-
-
Permanent jobs citing Microsoft Excel
4
0
0
As % of all permanent jobs advertised in Darlington
Microsoft Excel falls under the Software Applications category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring software application skills in Darlington.
Permanent vacancies with a requirement for software application skills
10
1
1
As % of all permanent jobs advertised in Darlington
8.40%
2.04%
2.38%
Number of salaries quoted
8
1
1
10th Percentile
£28,250
-
-
25th Percentile
£30,500
£26,000
£38,500
Median annual salary (50th Percentile)
£36,250
£27,000
£40,000
Median % change year-on-year
+34.26%
-32.50%
+2.56%
75th Percentile
£43,750
£28,000
£41,500
90th Percentile
£55,000
-
-
Durham median annual salary
£30,250
£37,032
£37,652
% change year-on-year
-18.31%
-1.65%
+24.47%
Microsoft Excel Job Vacancy Trend in Darlington
Job postings citing Microsoft Excel as a proportion of all IT jobs advertised in Darlington.
Microsoft Excel Salary Trend in Darlington
3-month moving average salary quoted in jobs citing Microsoft Excel in Darlington.
Microsoft Excel Top 18 Co-occurring Skills and Capabilities in Darlington
For the 6 months to 12 June 2024, job vacancies citing Microsoft Excel 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 Darlington region with a requirement for Microsoft Excel.
Microsoft Excel Co-occurring Skills and Capabilities in Darlington 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:
