SQL (Structured Query Language)
South East > Buckinghamshire
The table below provides summary statistics and contractor rates for jobs advertised in Buckinghamshire requiring SQL skills. It covers contract job vacancies from the 6 months leading up to 23 April 2026, with comparisons to the same periods in the previous two years.
| 6 months to 23 Apr 2026 |
Same period 2025 | Same period 2024 | |
|---|---|---|---|
| Rank | 18 | 11 | 9 |
| Rank change year-on-year | -7 | -2 | +8 |
| Contract jobs citing SQL | 56 | 28 | 54 |
| As % of all contract jobs in Buckinghamshire | 7.08% | 11.57% | 10.93% |
| As % of the Programming Languages category | 39.72% | 51.85% | 42.86% |
| Number of daily rates quoted | 51 | 21 | 39 |
| 10th Percentile | £309 | £321 | £375 |
| 25th Percentile | £401 | £350 | £413 |
| Median daily rate (50th Percentile) | £425 | £400 | £475 |
| Median % change year-on-year | +6.25% | -15.79% | -7.32% |
| 75th Percentile | £538 | £550 | £593 |
| 90th Percentile | £600 | £613 | £615 |
| South East median daily rate | £500 | £500 | £475 |
| % change year-on-year | - | +5.26% | -6.40% |
| Number of hourly rates quoted | 0 | 0 | 3 |
| 10th Percentile | - | - | - |
| 25th Percentile | - | - | £22.61 |
| Median hourly rate | - | - | £23.22 |
| 75th Percentile | - | - | £24.13 |
| 90th Percentile | - | - | £24.31 |
| South East median hourly rate | £62.76 | £63.12 | £58.11 |
| % change year-on-year | -0.57% | +8.62% | +79.91% |
All Programming Languages
Buckinghamshire
SQL falls under the Programming Languages category. For comparison with the information above, the following table provides summary statistics for all contract job vacancies requiring coding skills in Buckinghamshire.
| Contract vacancies with a requirement for coding skills | 141 | 54 | 126 |
| As % of all contract IT jobs advertised in Buckinghamshire | 17.83% | 22.31% | 25.51% |
| Number of daily rates quoted | 114 | 41 | 96 |
| 10th Percentile | £358 | £306 | £375 |
| 25th Percentile | £403 | £350 | £450 |
| Median daily rate (50th Percentile) | £500 | £475 | £525 |
| Median % change year-on-year | +5.26% | -9.52% | +5.00% |
| 75th Percentile | £560 | £575 | £575 |
| 90th Percentile | £600 | £613 | £613 |
| South East median daily rate | £500 | £513 | £500 |
| % change year-on-year | -2.44% | +2.50% | -4.76% |
| Number of hourly rates quoted | 0 | 2 | 10 |
| 10th Percentile | - | £51.38 | £22.61 |
| 25th Percentile | - | £51.56 | £29.89 |
| Median hourly rate | - | £53.75 | £47.50 |
| Median % change year-on-year | - | +13.16% | +11.76% |
| 75th Percentile | - | £56.56 | £51.56 |
| 90th Percentile | - | £57.13 | £54.25 |
| South East median hourly rate | £53.75 | £56.75 | £60.00 |
| % change year-on-year | -5.29% | -5.42% | +9.09% |
SQL
Job Vacancy Trend in Buckinghamshire
Historical trend showing the proportion of contract IT job postings citing SQL relative to all contract IT jobs advertised in Buckinghamshire.
SQL
Daily Rate Trend in Buckinghamshire
Contractor daily rate distribution trend for jobs in Buckinghamshire citing SQL.
SQL
Daily Rate Histogram in Buckinghamshire
Daily rate distribution for jobs citing SQL in Buckinghamshire over the 6 months to 23 April 2026.
SQL
Hourly Rate Trend in Buckinghamshire
Contractor hourly rate distribution trend for jobs in Buckinghamshire citing SQL.
SQL
Contract Job Locations in Buckinghamshire
The table below looks at the demand and provides a guide to the median contractor rates quoted in IT jobs citing SQL within the Buckinghamshire region over the 6 months to 23 April 2026. The 'Rank Change' column provides an indication of the change in demand within each location based on the same 6 month period last year.
| Location | Rank Change on Same Period Last Year |
Matching Contract IT Job Ads |
Median Daily Rate Past 6 Months |
Median Daily Rate % Change on Same Period Last Year |
Live Jobs |
|---|---|---|---|---|---|
| Milton Keynes | -9 | 53 | £425 | +6.25% | 19 |
| Newport Pagnell | - | 1 | £300 | - | |
| SQL South East |
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SQL
Co-Occurring Skills & Capabilities in Buckinghamshire 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:
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