Salesforce Object Search Language (SOSL)
South East > Hampshire
The table below provides summary statistics and salary benchmarking for jobs advertised in Hampshire requiring SOSL skills. It covers permanent job vacancies from the 6 months leading up to 10 February 2026, with comparisons to the same periods in the previous two years.
| 6 months to 10 Feb 2026 |
Same period 2025 | Same period 2024 | |
|---|---|---|---|
| Rank | 127 | - | - |
| Rank change year-on-year | - | - | - |
| Permanent jobs citing SOSL | 1 | 0 | 0 |
| As % of all permanent jobs in Hampshire | 0.038% | - | - |
| As % of the Programming Languages category | 0.25% | - | - |
| Number of salaries quoted | 0 | 0 | 0 |
| Median annual salary (50th Percentile) | - | - | - |
| South East median annual salary | - | - | - |
All Programming Languages
Hampshire
SOSL 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 Hampshire.
| Permanent vacancies with a requirement for coding skills | 396 | 670 | 987 |
| As % of all permanent jobs advertised in Hampshire | 15.24% | 28.89% | 34.86% |
| Number of salaries quoted | 341 | 450 | 854 |
| 10th Percentile | £32,750 | £37,500 | £31,250 |
| 25th Percentile | £47,500 | £46,250 | £42,200 |
| Median annual salary (50th Percentile) | £60,000 | £58,500 | £55,000 |
| Median % change year-on-year | +2.56% | +6.36% | - |
| 75th Percentile | £70,000 | £77,500 | £70,000 |
| 90th Percentile | £80,000 | £85,000 | £82,500 |
| South East median annual salary | £57,500 | £60,000 | £55,000 |
| % change year-on-year | -4.17% | +9.09% | -4.35% |
SOSL
Job Vacancy Trend in Hampshire
Historical trend showing the proportion of permanent IT job postings citing SOSL relative to all permanent IT jobs advertised in Hampshire.
SOSL
Salary Trend in Hampshire
Salary distribution trend for jobs in Hampshire citing SOSL.
SOSL
Co-Occurring Skills & Capabilities in Hampshire 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: