The table below provides summary statistics and contractor rates for jobs advertised in Milton Keynes requiring PHP skills. It covers contract job vacancies from the 6 months leading up to 12 November 2025, with comparisons to the same periods in the previous two years.
PHP 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 Milton Keynes.
Contract vacancies with a requirement for coding skills
88
83
168
As % of all contract IT jobs advertised in Milton Keynes
30.88%
27.67%
29.58%
Number of daily rates quoted
66
61
135
10th Percentile
£313
£261
£325
25th Percentile
£358
£406
£409
Median daily rate (50th Percentile)
£438
£505
£500
Median % change year-on-year
-13.37%
+1.00%
-4.76%
75th Percentile
£558
£600
£575
90th Percentile
£575
£656
£643
Buckinghamshire median daily rate
£436
£488
£500
% change year-on-year
-10.51%
-2.50%
-9.09%
Number of hourly rates quoted
0
1
0
Median hourly rate
-
£36.17
-
Buckinghamshire median hourly rate
-
£36.17
£70.00
% change year-on-year
-
-48.34%
+3.92%
PHP Job Vacancy Trend in Milton Keynes
Historical trend showing the proportion of contract IT job postings citing PHP relative to all contract IT jobs advertised in Milton Keynes.
PHP Daily Rate Trend in Milton Keynes
Contractor daily rate distribution trend for jobs in Milton Keynes citing PHP.
PHP Hourly Rate Trend in Milton Keynes
Contractor hourly rate distribution trend for jobs in Milton Keynes citing PHP.
PHP Top 9 Co-Occurring Skills & Capabilities in Milton Keynes
For the 6 months to 12 November 2025, contractor job vacancies citing PHP 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 Milton Keynes region with a requirement for PHP.
PHP Co-Occurring Skills & Capabilities in Milton Keynes 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:
