The following table provides summary statistics for permanent job vacancies advertised in Market Harborough with a requirement for Node.js skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited Node.js over the 6 months to 3 May 2024 with a comparison to the same period in the previous 2 years.
6 months to 3 May 2024
Same period 2023
Same period 2022
Rank
10
-
9
Rank change year-on-year
-
-
-
Permanent jobs citing Node.js
2
0
1
As % of all permanent jobs advertised in Market Harborough
Node.js is in the Software Libraries and Frameworks category. The following table is for comparison with the above and provides summary statistics for all permanent job vacancies advertised in Market Harborough with a requirement for technical specification, industry standards, software libraries and framework skills.
Permanent vacancies with a requirement for technical specification, industry standards, software libraries and framework skills
12
2
5
As % of all permanent jobs advertised in Market Harborough
42.86%
50.00%
35.71%
Number of salaries quoted
1
2
1
Median annual salary (50th Percentile)
£25,000
£25,000
£55,000
Median % change year-on-year
-
-54.55%
+57.14%
Leicestershire median annual salary
£48,000
£50,000
£50,000
% change year-on-year
-4.00%
-
+5.26%
Node.js Job Vacancy Trend in Market Harborough
Job postings citing Node.js as a proportion of all IT jobs advertised in Market Harborough.
Node.js Salary Trend in Market Harborough
3-month moving average salary quoted in jobs citing Node.js in Market Harborough.
Node.js Top 20 Co-occurring Skills and Capabilities in Market Harborough
For the 6 months to 3 May 2024, job vacancies citing Node.js 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 Market Harborough region with a requirement for Node.js.
Node.js Co-occurring Skills and Capabilities in Market Harborough 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:
