The table below provides summary statistics and contractor rates for jobs advertised in Knutsford requiring Physical Data Model skills. It covers contract job vacancies from the 6 months leading up to 3 December 2025, with comparisons to the same periods in the previous two years.
Physical Data Model 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 Knutsford.
Contract vacancies with a requirement for process or methodology skills
257
145
83
As % of all contract IT jobs advertised in Knutsford
96.25%
94.77%
96.51%
Number of daily rates quoted
253
118
63
10th Percentile
£310
£323
£450
25th Percentile
£358
£356
£487
Median daily rate (50th Percentile)
£423
£418
£525
Median % change year-on-year
+1.20%
-20.48%
+11.70%
75th Percentile
£490
£543
£582
90th Percentile
£578
£638
£588
Cheshire median daily rate
£447
£500
£500
% change year-on-year
-10.60%
-
+11.11%
Number of hourly rates quoted
0
2
0
Median hourly rate
-
£80.00
-
Cheshire median hourly rate
£22.85
£24.19
£24.81
% change year-on-year
-5.52%
-2.50%
+58.40%
Physical Data Model Job Vacancy Trend in Knutsford
Historical trend showing the proportion of contract IT job postings citing Physical Data Model relative to all contract IT jobs advertised in Knutsford.
Physical Data Model Daily Rate Trend in Knutsford
Contractor daily rate distribution trend for jobs in Knutsford citing Physical Data Model.
Physical Data Model Top 17 Co-Occurring Skills & Capabilities in Knutsford
For the 6 months to 3 December 2025, contractor job vacancies citing Physical Data Model also mentioned the following skills and capabilities in order of popularity.
The figures indicate the absolute number of co-occurrences and as a proportion of all contract job ads across the Knutsford region with a requirement for Physical Data Model.
Physical Data Model Co-Occurring Skills & Capabilities in Knutsford 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:
