The data used within the dashboard is the same dataset that was used to:
The analysis is based on companies recorded within Companies House and utilises a combination of information made freely available under the Open Government Licence 3.0 and mnAI’s proprietary technology that autonomously extracts, processes and cleanses unstructured data. Machine learning algorithms are used to derive directors’ gender and, for smaller companies, business size.
The results have been compiled from an analysis of 8,953,331 UK companies held within the mnAI database. Of these 3,933,500 were dissolved leaving 5,019,831 companies which were active effective of 6th September 2022. Of the active UK companies, 635,344 belonged to the following classifications and were removed:
This leaves an active population of 4,389,631 companies that were active in the last 12 months (7th September 2021 to 6th September 2022) which provide the basis for the current analysis.
The total number of directors analysed within the 4,389,631 active companies was 7,082,797 with the following breakdown:
For the purposes of the report, corporate directors were removed from the calculations leaving 7,054,447 individuals. ‘Uncertain’ labels are assigned where there is no additional data to support the male or female identification of a director: i.e., Alex Sam Thompson, Harley Smith etc.
When assigning a gender of ownership to a company, the following rules were applied:
Companies were categorised by size using government standard taxonomies:
In addition, two new categories were created:
Categorisation was undertaken using a combination of data sources including a variety of statutory filings which, when combined with mnAI’s proprietary data, provided the basis of the research
mnAI tracks 1,246 Venture Capital (VC) and Private Equity (PE) firms across the UK, broken down as:
In the investment analysis we show four types of investor:
For clarity, mnAI also tracks:
Contained within the mnAI database is the following breakdown of all investment types:
ITL1 regions are as per Eurostat definitions
“High growth” is calculated as per the OECD definition of 72.8% growth over a three-year period and excludes any company that has less than 10 employees. We also removed any company that had a turnover of less than £1,000.00 in year one to reduce large % variations in growth.
With agreement from a cross-industry group including colleagues from the Department of Business, Energy and Industrial Strategy (BEIS), the British Business Bank (BBB) and the UK Business Angel Association (UKBAA), mnAI created a parent/ child sector taxonomy that is based on Standard Industry Classification 08/09/22 Document classification: Confidential 3/4 codes as defined by the Office for National Statistics 2007, to help modernise and refresh historical sector groupings.