Node
East Sussex > Eastbourne
The table below provides summary statistics for permanent job vacancies advertised in Eastbourne requiring Node.js skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited Node.js over the 6 months leading up to 2 May 2025, comparing them to the same period in the previous two years.
| 6 months to 2 May 2025 |
Same period 2024 | Same period 2023 | |
|---|---|---|---|
| Rank | 11 | - | - |
| Rank change year-on-year | - | - | - |
| Permanent jobs citing Node.js | 2 | 0 | 0 |
| As % of all permanent jobs advertised in Eastbourne | 9.09% | - | - |
| As % of the Libraries, Frameworks & Software Standards category | 16.67% | - | - |
| Number of salaries quoted | 0 | 0 | 0 |
| Median annual salary (50th Percentile) | - | - | - |
| East Sussex median annual salary | £30,000 | £50,000 | - |
| % change year-on-year | -40.00% | - | - |
All Software Libraries and Frameworks
Eastbourne
Node.js falls under the Software Libraries and Frameworks category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring technical specification, industry standards, software libraries and framework skills in Eastbourne.
| Permanent vacancies with a requirement for technical specification, industry standards, software libraries and framework skills | 12 | 20 | 6 |
| As % of all permanent jobs advertised in Eastbourne | 54.55% | 40.00% | 8.33% |
| Number of salaries quoted | 9 | 12 | 6 |
| 10th Percentile | £43,050 | - | £48,125 |
| 25th Percentile | - | £38,750 | - |
| Median annual salary (50th Percentile) | £45,000 | £42,500 | £50,000 |
| Median % change year-on-year | +5.88% | -15.00% | -4.76% |
| 75th Percentile | - | £55,000 | - |
| 90th Percentile | £55,000 | £70,000 | - |
| East Sussex median annual salary | £50,000 | £57,500 | £56,500 |
| % change year-on-year | -13.04% | +1.77% | -1.74% |
Node.js
Co-occurring Skills and Capabilities in Eastbourne 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: