Data Extraction
South East > Home Counties
The table below provides summary statistics and contractor rates for jobs advertised in the Home Counties requiring Data Extraction skills. It covers contract job vacancies from the 6 months leading up to 8 February 2026, with comparisons to the same periods in the previous two years.
|
|
6 months to 8 Feb 2026 |
Same period 2025 |
Same period 2024 |
| Rank |
4 |
- |
- |
| Rank change year-on-year |
- |
- |
- |
| Contract jobs citing Data Extraction |
1 |
0 |
0 |
| As % of all contract jobs in the Home Counties |
12.50% |
- |
- |
| As % of the Processes & Methodologies category |
12.50% |
- |
- |
| Number of daily rates quoted |
0 |
0 |
0 |
| Median daily rate (50th Percentile) |
- |
- |
- |
| South East median daily rate |
£175 |
£428 |
£475 |
| % change year-on-year |
-59.06% |
-10.00% |
-2.56% |
Data Extraction falls under the Processes and Methodologies category. For comparison with the information above, the following table provides summary statistics for all contract job vacancies requiring process or methodology skills in the Home Counties.
| Contract vacancies with a requirement for process or methodology skills |
8 |
3 |
14 |
| As % of all contract IT jobs advertised in the Home Counties |
100.00% |
60.00% |
100.00% |
| Number of daily rates quoted |
1 |
1 |
7 |
| 10th Percentile |
- |
- |
£473 |
| 25th Percentile |
£650 |
- |
£514 |
| Median daily rate (50th Percentile) |
£700 |
£490 |
£550 |
| Median % change year-on-year |
+42.86% |
-10.91% |
- |
| 75th Percentile |
£750 |
- |
£575 |
| 90th Percentile |
- |
- |
£600 |
| South East median daily rate |
£500 |
£501 |
£511 |
| % change year-on-year |
-0.10% |
-1.96% |
+2.10% |
Data Extraction
Job Vacancy Trend in the Home Counties
Historical trend showing the proportion of contract IT job postings citing Data Extraction relative to all contract IT jobs advertised in the Home Counties.
Data Extraction
Co-Occurring Skills & Capabilities in the Home Counties 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: