Our Unique Perspective
IT Jobs Watch offers a unique perspective on today's digital and information technology employment landscape. Our aim is to present an accurate map of the prevailing UK job market conditions.
People who find this website useful include jobseekers, engineers, professionals, recruiters, HR, students, researchers and journalists.
We publish free real-time national and regional labour market statistics and actionable insights under a Creative Commons license including:
- Skills and capability trends
- Job role trends
- Salary benchmarking
- Skill set analysis
- Contextual links to live digital and IT job vacancies
The homepage presents tabular summary statistics and by default lists permanent job skills and capabilities ordered by Rank. The aggregates cover the 3 or 6 month period to .
The statistics are updated on a daily basis.
The results can be filtered using the search panel. For example, by:
- Selecting multiple skill and/or job role search terms
- Filtering by multiple choice Category. For example, Programming Languages
- Selecting a job vacancy Location such as London, Work from Home, or even UK excluding London
Columns can be sorted ascending and descending by clicking the column headings.
Each row in the results link to detailed analysis and historical trends dating back to 2004.
Rank: refers to the relative position of a job role or skill in terms of the number of matching unique job vacancies seen over a 6 or 3 month period. Rank is a simple measure of popularity with 1 indicating the most popular. The Rank is calculated nationwide and per region, area and town/city.
Rank Change: is the difference in Rank over the previous 6 or 3 month period and the Rank for the same 6 or 3 month period last year. The value of Rank Change provides a basic indication of the relative change in demand across the entire digital and IT job market. A positive Rank Change value indicates a relative increase in demand. A negative Rank Change indicates a relative fall in demand.
Contractor Rate Trends
Contractor Daily Rates
Since 2004, IT Jobs Watch has published free demand-side labour market insights including digital and information technology skill set trends, salary and contractor rate benchmarking and job vacancy statistics.
We research and publish actionable insights based on continuous and rigorous analysis of digital and IT job vacancy postings.
Contractor rates are calculated directly from the figures quoted. We do not derive average hourly rates from daily rates quoted or vice versa.
Our salary distributions, including the median, offer a guide and are calculated directly from the figures quoted in job vacancy postings. Benefits in kind, bonuses, etc., are not included in the calculations.
Average salaries (and average contractor rates) are based on the median or 50th percentile.
Most salary distributions tend to be positively skewed, with a larger number of lower salaries and a small number of high salaries. Very high or low salaries in respect to the rest of the market are referred to as outliers. Average salaries based on the arithmetic mean are adversely affected by these outliers. Outliers that are high tend to drive the mean upward. Similarly, very low outliers tend to drive the mean downward.
The median is not affected by outliers and as such provides a more representative market average for salaries.
To provide perspective on the distribution of salaries, we include two standard ranges around the median in the salary and contractor rate trend charts:
1. The 25th to 75th percentile range (or interquartile range) represents the middle 50% of salaries closest to the median. The interquartile range excludes the lowest 25% and highest 25% of salaries.
2. The 10th to 90th percentile range (or interdecile range) represents 80% of salaries closest to the median. The interdecile range excludes the lowest 10% and highest 10% of salaries.
Check our June 2017 methodology update. In recognition of a significant trend, we have updated the methodology we employ to calculate percentiles in order to enhance the accuracy of our salary distribution statistics.