JavaScript (including ECMAScript)
Hampshire > Yateley
The table below provides summary statistics and salary benchmarking for jobs advertised in Yateley requiring JavaScript skills. It covers permanent job vacancies from the 6 months leading up to 14 October 2026, with comparisons to the same periods in the previous two years.
|
|
6 months to
14 Oct 2026 |
Same period 2025 |
Same period 2024 |
| Rank |
13 |
- |
- |
| Rank change year-on-year |
- |
- |
- |
| Permanent jobs citing JavaScript |
1 |
0 |
0 |
| As % of all permanent jobs in Yateley |
1.56% |
- |
- |
| As % of the Programming Languages category |
11.11% |
- |
- |
| Number of salaries quoted |
0 |
0 |
0 |
| Median annual salary (50th Percentile) |
- |
- |
- |
| Hampshire median annual salary |
£61,250 |
£50,000 |
£45,000 |
| % change year-on-year |
+22.50% |
+11.11% |
-10.00% |
JavaScript 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 Yateley.
| Permanent vacancies with a requirement for coding skills |
9 |
2 |
4 |
| As % of all permanent jobs advertised in Yateley |
14.06% |
20.00% |
22.22% |
| Number of salaries quoted |
6 |
2 |
4 |
| 10th Percentile |
- |
£67,750 |
£50,125 |
| 25th Percentile |
- |
£68,125 |
£59,688 |
| Median annual salary (50th Percentile) |
£65,000 |
£70,000 |
£65,000 |
| Median % change year-on-year |
-7.14% |
+7.69% |
- |
| 75th Percentile |
- |
£71,875 |
£67,813 |
| 90th Percentile |
- |
£72,250 |
£72,875 |
| Hampshire median annual salary |
£62,500 |
£55,000 |
£56,000 |
| % change year-on-year |
+13.64% |
-1.79% |
+1.82% |
JavaScript
Job Vacancy Trend in Yateley
Historical trend showing the proportion of permanent IT job postings citing JavaScript relative to all permanent IT jobs advertised in Yateley.
JavaScript
Salary Trend in Yateley
Salary distribution trend for jobs in Yateley citing JavaScript.
JavaScript
Co-Occurring Skills & Capabilities in Yateley by Category
The following tables expand on the one above by listing co-occurrences grouped by category. They cover the same employment type, locality and period, with up to 20 co-occurrences shown in each category:
