Summary statistics of business dynamism taken from the Longitudinal Business Database (LBD), UK.

Abstract copyright UK Data Service and data collection copyright owner.

The Business Structure Database (BSD) contains a small number of variables for almost all business organisations in the UK. The BSD is derived primarily from the Inter-Departmental Business Register (IDBR), which is a live register of data collected by HM Revenue and Customs via VAT and Pay As You Earn (PAYE) records. The IDBR data are complimented with data from ONS business surveys. If a business is liable for VAT (turnover exceeds the VAT threshold) and/or has at least one member of staff registered for the PAYE tax collection system, then the business will appear on the IDBR (and hence in the BSD). In 2004 it was estimated that the businesses listed on the IDBR accounted for almost 99 per cent of economic activity in the UK. Only very small businesses, such as the self-employed were not found on the IDBR.

The IDBR is frequently updated, and contains confidential information that cannot be accessed by non-civil servants without special permission. However, the ONS Virtual Micro-data Laboratory (VML) created and developed the BSD, which is a 'snapshot' in time of the IDBR, in order to provide a version of the IDBR for research use, taking full account of changes in ownership and restructuring of businesses. The 'snapshot' is taken around April, and the captured point-in-time data are supplied to the VML by the following September. The reporting period is generally the financial year. For example, the 2000 BSD file is produced in September 2000, using data captured from the IDBR in April 2000. The data will reflect the financial year of April 1999 to March 2000. However, the ONS may, during this time, update the IDBR with data on companies from its own business surveys, such as the Annual Business Survey (SN 7451).

The Business Structure Database Longitudinal, 1997-2013 was compiled by Michael Anyadike-Danes, Aston Business School, with support from Economic and Social Research Council funding.

Researchers are advised to read the documentation accompanying the main BSD collection held by the UK Data Archive under SN 6697 before applying for or using the longitudinal data.

Linking to other business studies
These data contain IDBR reference numbers. These are anonymous but unique reference numbers assigned to business organisations. Their inclusion allows researchers to combine different business survey sources together. Researchers may consider applying for other business data to assist their research.

For the second edition (April 2019), the full postcodes have been replaced with only the first part of the postcode (e.g., SW1V rather than SW1V 2QQ) in the two geography data files. A look up file that includes postcode districts has been added so that users can still aggregate to higher geographies.

• enterprise birth and death date file
• enterprise employees file, giving the total number of employees (excluding owners) of each enterprise
• two geography files, including Government Office Regions and postcodes, both at birth and throughout 1997-2013
• two Standard Industrial Classification code files both at birth and throughout 1997-2013

Operators in this industry develop, publish and distribute database management, storage and remote-backup software systems. Operators may also assist in the installation and maintenance of the software systems. This industry further includes the development and publishing of middleware, which acts as an intermediary between databases and business analytics software. The industry does not include hardware manufacturing, operating system publishing or business analytics software publishing.

Through two decades of campaigns delivery and optimization, Expandi has created the most comprehensive GDPR-compliant European database covering SMB, Midmarket, and Enterprise companies. Our data base is enriched with up-to-date technographic, financial and intent data. All our data is updated regularly and includes only active companies, allowing you to reach the most relevant and appropriate customers for your business.

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Business Listings Database is the source of point-of-interest data and can provide you with all the information you need to analyze how specific places are used, what kinds of audiences they attract, and how their visitor profile changes over time.

The full fields description may be found on this page: https://docs.dataforseo.com/v3/databases/business_listings/?bash

Real-time database to accompany revision triangles, by quarter, chained volume measures, seasonally adjusted, UK.

The Cambridge Centre for Business Research Survey of Knowledge Exchange Activity with Universities by United Kingdom Companies, 2017-2021 contains the results of an online survey of directors of UK companies in 2020-2021.

The survey was designed to assess the extent and nature of the knowledge exchange interactions of their companies with the university sector. It covers the three-year period to March 2020 prior to the Covid-19 pandemic and questions relating to the subsequent impact of the pandemic on knowledge exchange patterns. The researchers inquired about 33 modes of interaction grouped into four broad categories. These were commercialisation (3 modes), people-based (10 modes), problem-solving (12 modes) and community-based (4 modes).

The survey covers a sample of 3,823 companies in all sectors, regions and countries of the UK and employment sizes ranging from micro-firms less than 10 employees, to the largest public listed corporations. The response rate was 4.4 per cent and a detailed response bias analyses by survey wave and prompt wave showed largely insignificant sample response bias compared to the sampling frame drawn from the FAME database of all UK companies.

The dataset provides a unique source of data on a critical period of challenge for knowledge exchange in the UK. David Sweeney, the then Executive Director of Research England which sponsored the survey commented on an initial report of results in 2022 that "This report which has an exclusive focus on company interactions with universities, is an important addition to our understanding of the collaboration process" (The Changing State of Business-University Interactions in the UK. Centre for Business Research and NCUB. 2022 p2).

The survey dataset contains many variables comparable with a similar previous postal survey of an earlier period by two members of the current research team. The data from this is available from the Data Archive under SN 6464 - Cambridge Centre for Business Research Survey of Knowledge Exchange Activity by United Kingdom Businesses, 2005-2009.

These data were generated as part of a two-and-a-half-year ESRC-funded research project examining the digitalisation of higher education (HE) and the educational technology (Edtech) industry in HE. Building on a theoretical lens of assetisation, it focused on forms of value in the sector, and governance challenges of digital data. It followed three groups of actors: UK universities, Edtech companies, and investors in Edtech. The researchers first sought to develop an overview of the Edtech industry in HE by building three databases on Edtech companies, investors in Edtech, and investment deals, using data downloaded from Crunchbase, a proprietary platform. Due to Crunchbase’s Terms of Service, only parts of one database are allowed to be submitted to this repository, i.e. a list of companies with the project’s classification. A report offering descriptive analysis of all three databases was produced and is submitted as well. A qualitative discursive analysis was conducted by analysing seven documents in depth. In the second phase, researchers conducted interviews with participants representing three groups of actors (n=43) and collected documents on their organisations. Moreover, a list of documents collected from Big Tech (Microsoft, Amazon, and Salesforce) were collected to contextualise the role of global digital infrastructure in HE. Due to commercial sensitivity, only lists of documents collected about investors and Big Tech are submitted to the repository. Researchers then conducted focus groups (n=6) with representatives of universities (n=19). The dataset includes transcripts of focus groups and outputs of writing by participants during the focus group. Finally, a public consultation was held via a survey, and 15 participants offered qualitative answers.

The CBT database builds on an existing database which has been created in 2006 as a multi-country database and developed over the years by various Research Fellows at the Centre, and earlier at the Institute for Fiscal Studies. The original version uses various sources such as OECD Tax Database, IBFD (International Bureau of Fiscal Documentation), World Tax Database from the University of Michigan, KPMG and E&Y and covered mainly OECD countries. The data currently in the database comes from various sources, mainly from: • The Worldwide Corporate Tax Guide published by E&Y; years available: 2002-2017 • data for 2011 - 2017 comes mainly from the online IBFD Tax Research Platform where they provide very detailed Country Surveys • G20 countries data has been updated to be consistent with IBFD "Global corporate tax handbook" (years 2007 - 2010) and "European tax handbook" (years 1990 - 2010) • ZEW Intermediate Report 2011, “Effective Tax levels using Devereux/Griffith methodology” • Deloitte Tax Highlights and International Tax and Business Guide; years available: 2009, 2010 • KPMG Tax Rate Survey; years available: 1998 - 2009 • PKF Worldwide Tax Guide; years available: 2007 - 2009

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United Kingdom UK: New Business Density: New Registrations per 1000 People Aged 15 to 64 data was reported at 15.742 Number in 2016. This records an increase from the previous number of 14.564 Number for 2015. United Kingdom UK: New Business Density: New Registrations per 1000 People Aged 15 to 64 data is updated yearly, averaging 11.202 Number from Dec 2006 (Median) to 2016, with 11 observations. The data reached an all-time high of 15.742 Number in 2016 and a record low of 8.922 Number in 2009. United Kingdom UK: New Business Density: New Registrations per 1000 People Aged 15 to 64 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Kingdom – Table UK.World Bank.WDI: Businesses Registered Statistics. New businesses registered are the number of new limited liability corporations registered in the calendar year.; ; World Bank's Entrepreneurship Survey and database (http://www.doingbusiness.org/data/exploretopics/entrepreneurship).; Unweighted average; For cross-country comparability, only limited liability corporations that operate in the formal sector are included.

Be one of the first companies to benefit from telephone verified contact data for a record that has just been added to our dataset within the last 24 hours. You will still receive all of the usual data fields that Market Location can offer.

United Kingdom UK: Time Required to Build a Warehouse data was reported at 86.000 Day in 2017. This stayed constant from the previous number of 86.000 Day for 2016. United Kingdom UK: Time Required to Build a Warehouse data is updated yearly, averaging 86.000 Day from Dec 2005 (Median) to 2017, with 13 observations. The data reached an all-time high of 150.000 Day in 2008 and a record low of 86.000 Day in 2017. United Kingdom UK: Time Required to Build a Warehouse data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Kingdom – Table UK.World Bank.WDI: Company Statistics. Time required to build a warehouse is the number of calendar days needed to complete the required procedures for building a warehouse. If a procedure can be speeded up at additional cost, the fastest procedure, independent of cost, is chosen.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; Unweighted average; Data are presented for the survey year instead of publication year.

The Business Structure Database is managed by the Secure Data Service (SDS) and can only be accessed through secure conditions. The ‘domestic use’ input-output matrix, contains domestic trade flows describing intermediate demand between Standard-Industrial-Classification (SIC) coded sectors. This was obtained from the ONS.

GRIT (‘Geospatial Restructuring of Industrial Trade’) is an ESRC-funded project in the School of Geography at the University of Leeds. An energy revolution must take place if the worst effects of climate change are to be avoided. Even without the impact this may have (eg through carbon pricing), fuel costs have a very uncertain future. GRIT has two aims:

create a fine-grained picture of the current spatial structure of the UK economy

consider how changing fuel prices could alter that structure over the long term. GRIT examines the web of connections between businesses in the UK to identify sectors and locations facing the greatest changes.

GRIT will work with a unique dataset: the Business Structure Database contains information for nearly every UK business, including location and sector classification. This will be linked to sectoral trade flow data. These two sources offer an opportunity to map the current spatial distribution of economic activity in the UK and to think about how that distribution may change in the future. GRIT combines this data-driven approach with a plan to engage with organisations directly affected. GRIT will work closely with a small number of organisations and engage others through the project website.

Proportion of businesses, turnover and employment by different legal form, industry and location over time. Uses a sample of businesses from the experimental Longitudinal Business Database.

This dataset is about books. It has 1 row and is filtered where the book is Design and application of educational online systems in the fields of economics and business studies using non-bibliographic databases : final report : British Library Research and Development Department grant S1/G/361. It features 7 columns including author, publication date, language, and book publisher.

United Kingdom UK: Ease of Doing Business Index: 1=Most Business-friendly Regulations data was reported at 7.000 NA in 2017. United Kingdom UK: Ease of Doing Business Index: 1=Most Business-friendly Regulations data is updated yearly, averaging 7.000 NA from Dec 2017 (Median) to 2017, with 1 observations. United Kingdom UK: Ease of Doing Business Index: 1=Most Business-friendly Regulations data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Kingdom – Table UK.World Bank.WDI: Business Environment. Ease of doing business ranks economies from 1 to 190, with first place being the best. A high ranking (a low numerical rank) means that the regulatory environment is conducive to business operation. The index averages the country's percentile rankings on 10 topics covered in the World Bank's Doing Business. The ranking on each topic is the simple average of the percentile rankings on its component indicators.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; ; Data are presented for the survey year instead of publication year. Data before 2013 are not comparable with data from 2013 onward due to methodological changes.

The Mergers and Acquisitions Survey presents information and data on the timing, value, number and methods of funding of Mergers and Acquisitions transactions involving UK businesses with deal values of £1 million and above.

The Mergers and Acquisitions Survey consists of three categories of investment:

• inward investment (acquisitions of UK companies by foreign companies);
• outward investment (UK companies acquisitions of foreign companies);
• domestic Mergers and Acquisitions (acquisitions of UK companies by other UK companies).
  

The sampling source for the Mergers and Acquisitions Survey was changed in January 2018; Bureau Van Dijk's Zephyr database is now used as the starting point for deal identification.

Linking to other business studies
These data contain Inter-Departmental Business Register (IDBR) reference numbers. These are anonymous but unique reference numbers assigned to business organisations. Their inclusion allows researchers to combine different business survey sources together. Researchers may consider applying for other business data to assist their research.

Limited metadata is available about this study but further information about how the data are used, and the latest publications, are available on the ONS Mergers and Acquisitions webpages.

Latest edition information
For the second edition (August 2023), annual inward, outward and domestic 2021 data files have been added to the study. The variable list for 2021 has also been added.

As of June 2024, the most popular database management system (DBMS) worldwide was Oracle, with a ranking score of 1244.08; MySQL and Microsoft SQL server rounded out the top three. Although the database management industry contains some of the largest companies in the tech industry, such as Microsoft, Oracle and IBM, a number of free and open-source DBMSs such as PostgreSQL and MariaDB remain competitive. Database Management Systems As the name implies, DBMSs provide a platform through which developers can organize, update, and control large databases. Given the business world’s growing focus on big data and data analytics, knowledge of SQL programming languages has become an important asset for software developers around the world, and database management skills are seen as highly desirable. In addition to providing developers with the tools needed to operate databases, DBMS are also integral to the way that consumers access information through applications, which further illustrates the importance of the software.