The table below looks at the prevalence of the term Telecoms in permanent job vacancies in Marlow. Included is a benchmarking guide to the salaries offered in vacancies that cited Telecoms over the 6 months leading up to 16 July 2026, comparing them to the same period in the previous two years.
|
|
6 months to
16 Jul 2026 |
Same period 2025 |
Same period 2024 |
| Rank |
24 |
- |
- |
| Rank change year-on-year |
- |
- |
- |
| Permanent jobs citing Telecoms |
1 |
0 |
0 |
| As % of all permanent jobs in Marlow |
0.92% |
- |
- |
| As % of the General category |
1.15% |
- |
- |
| Number of salaries quoted |
1 |
0 |
0 |
| Median annual salary (50th Percentile) |
£38,000 |
- |
- |
| Buckinghamshire median annual salary |
£30,000 |
£45,608 |
£33,500 |
| % change year-on-year |
-34.22% |
+36.14% |
-10.67% |
Telecoms falls under the General Skills category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring general skills in Marlow.
| Permanent vacancies with a requirement for general skills |
87 |
103 |
22 |
| As % of all permanent jobs advertised in Marlow |
79.82% |
71.03% |
25.88% |
| Number of salaries quoted |
20 |
57 |
11 |
| 10th Percentile |
- |
£24,000 |
£26,250 |
| 25th Percentile |
- |
£24,750 |
£40,000 |
| Median annual salary (50th Percentile) |
£30,000 |
£29,000 |
£42,500 |
| Median % change year-on-year |
+3.45% |
-31.76% |
-10.53% |
| 75th Percentile |
£50,000 |
£37,000 |
£45,625 |
| 90th Percentile |
£65,000 |
£60,000 |
£55,000 |
| Buckinghamshire median annual salary |
£50,000 |
£42,000 |
£45,000 |
| % change year-on-year |
+19.05% |
-6.67% |
-10.00% |
Telecoms
Job Vacancy Trend in Marlow
Historical trend showing the proportion of permanent IT job postings citing Telecoms relative to all permanent IT jobs advertised in Marlow.
Telecoms
Salary Trend in Marlow
Salary distribution trend for jobs in Marlow citing Telecoms.
Telecoms
Co-Occurring Skills & Capabilities in Marlow 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:
