ClassifiedCompany - The Data City

85 fields · across 24 categories · 24 sourced from CreditSafe.

This schema is part of Industry Engine. Use the data dictionary browser to search and filter every field, or jump straight to a field below. Array fields that reference another schema link to that schema’s own page.

Classification

Field name	Description	Data type	Source	Updated
`CICs`	Custom Industrial Classifications (CICs) the company has been classified into. API includes the industry verticals within the same field. On the download, verticals are a separate column. These are custom RTICs. · Related: The Data City guide	`array[companynumberrtic]`	The Data City	Ad hoc
`ConsolidatedAccountsCompanyName`	A list of company names within the same group structure that have consolidated accounts. This is a strong signal of the companies that are more likely to be the parent company. This is because it is common for the parent company to file consolidated accounts that include all the subsidiaries in the group structure. · CreditSafe-sourced	`array[string]`	The Data City	Monthly
`ConsolidatedAccountsCompanyNumber`	A list of company numbers within the same group structure that have consolidated accounts. This is a strong signal of the companies that are more likely to be the parent company. This is because it is common for the parent company to file consolidated accounts that include all the subsidiaries in the group structure. · CreditSafe-sourced	`array[string]`	The Data City	Monthly
`DistinctBrandsInGroup`	A list of distinct brands that can be found across the company’s group structure.	`array[distinctbrandinfo]`	The Data City	Monthly
`ESG_RTIC`	A boolean value indicating whether the company is in an ESG RTIC. · Download name: `ESGRTIC`	`boolean`	The Data City	Monthly
`IS8Codes`	Industrial Strategy Sector codes associated with the company, derived from RTICs and RSICs. · Nested object — see IndustrialStrategySector	`array[industrialstrategysector]`	The Data City	Ad hoc
`IsLikelyAgency`	A boolean value indicating whether the company is likely to be an agency. This is based on assessment of the company’s financials.	`boolean`	The Data City	Monthly
`LinkedCompanyNumbers`	A list of company numbers that are linked to the company, even if they are not connected through group structure. This is based on a combination of signals including shared officers, shared addresses, shared shareholders, and other signals. · CreditSafe-sourced	`array[string]`	The Data City	Monthly
`RSICs`	Real-Time SIC (RSIC) codes with associated confidence score · Related: The Data City guide · Nested object — see RSIC	`array[rsic]`	The Data City	Monthly
`RTICs`	RTICs the company has been classified into. API includes the industry verticals within the same field. On the download, verticals are a separate column. · Related: The Data City guide	`array[companynumberrtic]`	The Data City	Ad hoc
`SICHLUs`	Companies House data. SIC Sections. Nature of business: Standard Industrial Classification (SIC) codes. · Related: Companies House guide	`array[string]`	Companies House	Monthly
`SICs`	Companies House data. Nature of business: Standard Industrial Classification (SIC) codes. · Related: Companies House guide	`array[string]`	Companies House	Monthly
`UltimateLinkedCompanyNumber`	The ultimate linked company number in the group structure. This is the company number that was first incorporated within the collection of linked companies. · CreditSafe-sourced	`string`	The Data City	Monthly
`UltimateUKParentCompanyNames`	A list of company names belonging to companies in the group that are the highest level UK registered companies. · CreditSafe-sourced	`array[string]`	The Data City	Monthly
`UltimateUKParentCompanyNumbers`	A list of company numbers belonging to companies in the group that are the highest level UK registered companies. · CreditSafe-sourced	`array[string]`	The Data City	Monthly

Company

Field name	Description	Data type	Source	Updated
`CompanyCategory`	Companies House data. The type of company, e.g. Publically Listed (PLC) or Limited (LTD). · Download name: `Companycategory`	`string`	Companies House	Monthly
`CompanyName`	Companies House data. Companies have the ability to change their company name through submission to Companies House. · Download name: `Companyname`	`string`	Companies House	Monthly
`CompanyNumber`	Companies House data. Unique key, doesn’t change. Most important part of our data. · Related: Companies House guide · Download name: `Companynumber`	`string`	Companies House	Monthly
`CompanyStatus`	The company status as per Companies House.	`string`	The Data City	Monthly
`CountryOfOrigin`	Companies House data. Not to be confused with group structure (ParentCompanyNation, UltimateParentCompanyNation). · Download name: `Countryoforigin`	`string`	Companies House	Monthly
`IncorporationDate`	Companies House data. · Download name: `IncorporationDate/SortableIncorporationDate`	`string`	Companies House	Monthly
`RegisteredAddress`	Companies House data. The companies registered address as registered on Companies House. This is not to be confused with their head office. Not sourced from CreditSafe. · Related: Companies House guide · Download name: `Registeredaddress`	`string`	Companies House	Monthly
`RegisteredPostcode`	Companies House data. Not to be confused with head office (we do not know this at this stage). Not sourced from CreditSafe. · Related: Companies House guide · Download name: `Registeredpostcode`	`string`	Companies House	Monthly
`Spinout`	True if the company is a spinout, sourced from the HESA spinout register. A spinout is a company created to commercialise research or technology developed at a university or research institution.	`boolean`	HESA	Ad hoc

Investment

Field name	Description	Data type	Source	Updated
`DealroomFunding`	Legacy field, retained for backward compatibility only; use Investment instead. · Related: Investment guide · Nested object — see PerRoundInvestment	`array[perroundinvestment]`	Investment	N/A
`HasIPO`	True if the company has listed on a public market, based on an IPO event in the investment feed. · Related: Third-party Investment guide	`boolean`	Third-party Investment	Daily
`Investment`	Per-round investment data matched to a CompanyNumber with high confidence. TotalInvestmentRaised_GBP_Million is the sum of all rounds, except Debt and Acquisition rounds. This is the total across the provider’s tracking period and is not the total in one particular year. · Related: Investment guide · Nested object — see PerRoundInvestment	`array[perroundinvestment]`	Investment	Daily
`LatestRoundAmount`	The amount raised in the company’s most recent funding round. This is the individual round amount, not the company’s total funding raised across all rounds. · Related: Third-party Investment guide	`number`	Third-party Investment	Daily
`LatestRoundDate`	The date of the company’s most recent funding round. · Related: Third-party Investment guide	`string`	Third-party Investment	Daily
`LatestRoundType`	The round type of the company’s most recent funding round (e.g. “Seed”, “Series A”). · Related: Third-party Investment guide	`string`	Third-party Investment	Daily
`LatestRoundValuation`	The company’s valuation as reported for its most recent funding round, in GBP. Not all rounds have a disclosed or estimated valuation. · Related: Third-party Investment guide	`number`	Third-party Investment	Daily

Financials

Field name	Description	Data type	Source	Updated
`AccountsOverdueByMoreThanAYear`	A flag indicating the company’s accounts are overdue by more than a year.	`boolean`	Companies House	Monthly
`BestEstimateEBITDA`	Where OPERATING_PROFIT, DEPRECIATION_OF_TANGIBLES and AMORTISATION_OF_INTANGIBLES are available, these three values are summed. · CreditSafe-sourced · Download name: `EBITDA`	`number`	The Data City	Monthly
`BestEstimateTurnover`	Available from Companies House for large companies, if absent then The Data City provide an estimate. The BestEstimate will report actual (reported) where available or it will be an estimate. BestEstimateTurnover refers to the current year: where accounts covering the current year have not been reported, the value is projected forward from the most recently reported year. · CreditSafe-sourced · Related: The Data City guide · Download name: `BestEstimateCurrentTurnover`	`integer`	The Data City	Monthly
`CompanyFinancials_CreditSafe`	Annual financial reporting from filings processed by Creditsafe. Creditsafe use a semi-automated process to convert scanned financial PDF documents into numerical/digital values. This process may lead to errors, e.g. reporting profit as turnover. · CreditSafe-sourced · Related: CreditSafe guide · Download name: `CompanyFinancialsCreditSafe` · Nested object — see CleanCreditSafeCompany	`array[cleancreditsafecompany]`	CreditSafe	Monthly
`EstimatedGVA`	We have produced an estimated GVA measure at the company level. We have employee and SIC information for each company. This makes it possible to estimate a GVA value per company by multiplying a company’s number of employees by the standard GVA employee contribution associated with that same company’s SIC. · CreditSafe-sourced · Related: ONS; BRES guide · Download name: `BestEstimate_CurrentGVA`	`number`	ONS; BRES	Monthly/Quarterly
`EstimatedUKGVA`	We have produced an estimated GVA measure at the company level. We have employee and SIC information for each company. This makes it possible to estimate a GVA value per company by multiplying a company’s number of UK employees by the standard GVA employee contribution associated with that same company’s SIC. · CreditSafe-sourced · Related: ONS; BRES guide · Download name: `BestEstimate_CurrentUKGVA`	`number`	ONS; BRES	Monthly/Quarterly

Job Postings

Field name	Description	Data type	Source	Updated
`CompanyJobPostings`	This company’s job postings grouped by SOC4 occupation, one entry per occupation group, covering the most recent five years. See the CompanyJobPosting schema for the fields on each entry. Job postings data is a paid upgrade and is not included for all customers. · Nested object — see CompanyJobPosting	`array[companyjobposting]`	Lightcast	Monthly
`CompanyJobPostingsByLot`	This company’s job postings grouped by Lightcast Occupation Taxonomy (LOT) occupation, one entry per occupation, covering the most recent five years. See the CompanyJobPostingByLot schema for the fields on each entry. Job postings data is a paid upgrade and is not included for all customers. · Nested object — see CompanyJobPostingByLot	`array[companyjobpostingbylot]`	Lightcast	Monthly
`CompanyJobPostingsByLOTCodeOverTime`	This company’s monthly job posting counts and median advertised salary per LOT occupation, one entry per occupation per month, covering the most recent five years. Job postings data is a paid upgrade and is not included for all customers. · Nested object — see CompanyJobPostingByLOTCodeOverTime	`array[companyjobpostingbylotcodeovertime]`	Lightcast	Monthly
`CompanyJobPostingsBySkill`	This company’s job postings grouped by common skill requested, covering the most recent five years. Despite the name this holds common skills only; specialised skills, software skills and certifications are returned separately and are not included here. See the CompanyJobPostingByCommonSkill schema for the fields on each entry. Job postings data is a paid upgrade and is not included for all customers. · Nested object — see CompanyJobPostingByCommonSkill	`array[companyjobpostingbycommonskill]`	Lightcast	Monthly
`CompanyJobPostingsBySOC4CodeOverTime`	This company’s monthly job posting counts and median advertised salary per SOC4 occupation, one entry per occupation per month, covering the most recent five years. Job postings data is a paid upgrade and is not included for all customers. · Nested object — see CompanyJobPostingBySOC4CodeOverTime	`array[companyjobpostingbysoc4codeovertime]`	Lightcast	Monthly
`CompanyJobPostingsOverTime`	This company’s monthly job posting counts as two time series, one totalled by SOC4 occupation and one by LOT occupation, covering the most recent five years. Use this for overall hiring trend over time; use CompanyJobPostingsBySOC4CodeOverTime or CompanyJobPostingsByLOTCodeOverTime for a trend per individual occupation. Job postings data is a paid upgrade and is not included for all customers.	`companyjobpostingsovertime`	Lightcast	Monthly

Field name	Description	Data type	Source	Updated
`Bluesky`	Takes the most common anchor link which contains the social media domain. We prioritise social media links that are found on the homepage.	`string`	Web Scraping	Monthly/Quarterly
`Facebook`	Takes the most common anchor link which contains the social media domain. We prioritise social media links that are found on the homepage.	`string`	Web Scraping	Monthly/Quarterly
`Instagram`	Takes the most common anchor link which contains the social media domain. We prioritise social media links that are found on the homepage.	`string`	Web Scraping	Monthly/Quarterly
`Linkedin`	Takes the most common anchor link which contains the social media domain. We prioritise social media links that are found on the homepage.	`string`	Web Scraping	Monthly/Quarterly
`Twitter`	Takes the most common anchor link which contains the social media domain. We prioritise social media links that are found on the homepage.	`string`	Web Scraping	Monthly/Quarterly
`Youtube`	Takes the most common anchor link which contains the social media domain. We prioritise social media links that are found on the homepage.	`string`	Web Scraping	Monthly/Quarterly

Gender

Field name	Description	Data type	Source	Updated
`GenderFoundedCategory`	The company’s single gender-leadership category based on its active founders. One of: All women led, Majority women led, Mixed led, Majority men led, All men led, Uncertain. Mutually exclusive — every company falls in exactly one. · CreditSafe-sourced · Related: The Data City guide · Download name: `gender_founded_category`	`string`	The Data City	Monthly
`GenderLedCategory`	The company’s single gender-leadership category based on its active directors. One of: All women led, Majority women led, Mixed led, Majority men led, All men led, Uncertain. Mutually exclusive — every company falls in exactly one. · CreditSafe-sourced · Related: The Data City guide · Download name: `gender_led_category`	`string`	The Data City	Monthly
`WomenLedStats`	For each company we have identified the likely founders. We have used their declared title to assign them a gender. We distinguish between founders that have founded a company, but are no longer active at the company and founders that are still active at the company. · CreditSafe-sourced · Related: The Data City guide	`womanledstats`	The Data City	Monthly

Group Structure

Field name	Description	Data type	Source	Updated
`CompanyNation`	The company nation. · CreditSafe-sourced	`string`	Companies House	Monthly
`ParentNation`	The nation of the parent company. · CreditSafe-sourced	`string`	Companies House	Monthly
`UltimateParentNation`	The nation of the ultimate parent company. · CreditSafe-sourced	`string`	Companies House	Monthly

Growth

Field name	Description	Data type	Source	Updated
`CompanyGrowthTrends`	Based on the company growth trends data. · Related: The Data City guide	`companygrowthtrend`	The Data City	Monthly
`HighGrowth`	A boolean value indicating whether the company is a high growth company. · Related: The Data City guide	`boolean`	The Data City	Monthly
`OECDScaleup`	A boolean value indicating whether the company is an OECD defined scale-up. · Related: The Data City guide	`boolean`	The Data City	Monthly

Keywords

Field name	Description	Data type	Source	Updated
`InnovationKeywords`	We have a large list of emerging economy keywords. We loop through the web text to see if the web text contains the keyword. If they do, the keyword is assigned to the company. · Related: Web Scraping guide	`array[string]`	Web Scraping	Monthly
`ManufacturingKeywords`	We have a large list of manufacturing keywords. We loop through the web text to see if the web text contains the keyword. If they do, the keyword is assigned to the company.	`array[string]`	Web Scraping	Monthly
`SectorKeywords`	We have a large list of emerging economy keywords. We loop through the web text to see if the web text contains the keyword. If they do, the keyword is assigned to the company. · Related: Web Scraping guide · Download name: `Sectorkeywords`	`array[string]`	Web Scraping	Quarterly

Officers

Field name	Description	Data type	Source	Updated
`NumberOfCurrentDirectors`	The number of directors currently appointed to the company, i.e. those with no resignation date recorded whose role is Director. Excludes other officer roles such as company secretaries, LLP members and managing officers, so a limited liability partnership will typically report zero current directors. · CreditSafe-sourced	`integer`	Companies House	Monthly
`NumberOfCurrentOfficers`	The number of officers currently appointed to the company, i.e. those with no resignation date recorded. Counts all officer roles, including company secretaries and LLP members, not only directors. · CreditSafe-sourced	`integer`	Companies House	Monthly
`Officers`	These are officers as per Companies House. E.g. https://find-and-update.company-information.service.gov.uk/company/10958787/officers · CreditSafe-sourced · Nested object — see Officer	`array[officer]`	Companies House	Monthly

Other

Field name	Description	Data type	Source	Updated
`HasBeenAcquired`	True if the company has been acquired, based on funding rounds with an “Acquisition” round type where this company is the target. · Related: Third-party Investment guide	`boolean`	Third-party Investment	Daily
`HasMadeAcquisitions`	True if the company has acquired another company, based on funding rounds with an “Acquisition” round type where this company is the acquirer. · Related: Third-party Investment guide	`boolean`	Third-party Investment	Daily
`EmailAddresses`	Emails are extracted from the website text. Director emails are prioritised. For matching directors to emails: any combination of the complete surname or first name with at least the first initial of the opposing field. No AI is used. · Download name: `Email`	`array[string]`	Web Scraping	Monthly/Quarterly
`PhoneNumbers`	CreditSafe provide The Data City with CTPS approved phone numbers. Phone numbers are extracted from the website text. · CreditSafe-sourced · Related: CreditSafe guide · Download name: `Telephone`	`array[string]`	CreditSafe	Monthly/Quarterly
`BestEstimateEmployees`	Employees data is available for most companies. Occasionally there are gaps in reporting. Where there are gaps in reporting, we estimate the number of employees; this includes a projection of employees forwards and backwards. BestEstimateEmployees refers to the current year. BestEstimateEmployees may include overseas employees. · CreditSafe-sourced · Related: The Data City guide · Download name: `BestEstimateCurrentEmployees`	`integer`	The Data City	Monthly
`BestEstimateUKEmployees`	Similar to BestEstimateEmployees, but estimates only UK-based employees. BestEstimateUKEmployees currently refers to the latest complete year. · CreditSafe-sourced · Related: The Data City guide	`integer`	The Data City	Monthly
`_360GivingFunding`	Data provided by a charity that helps organisations to publish open, standardised grants data, and supports people to use it to improve charitable giving. Source: https://grantnav.threesixtygiving.org/ · Related: 360Giving guide · Download name: `360GivingFunding` · Nested object — see BasicGrant360	`array[basicgrant360]`	360Giving	Monthly
`InnovateUKFunding`	Information about the projects funded by Innovate UK from 2004. Source: https://www.ukri.org/publications/innovate-uk-funded-projects-since-2004/ · Related: InnovateUK guide · Nested object — see InnovateUKFundingClean	`array[innovateukfundingclean]`	InnovateUK	Monthly
`IsBCorp`	A flag of whether a company is a B Corp. This is based on a list of B Corps that we have obtained from B Corp and matched to our companies. · Related: BCorp and The Data City guide	`boolean`	BCorp and The Data City	Quarterly
`IsLikelySPV`	A flag indicating the company is likely a special purpose vehicle (SPV), based on an ML model applied to Companies House data.	`boolean`	The Data City	Quarterly
`SimilarCompanies`	Our similarity score adopts measures of mathematical similarity to find similar companies using their website text. Companies with website text with the same words are more likely to report a higher level of similarity. · Related: The Data City guide · Nested object — see CompanySimilarity	`array[companysimilarity]`	The Data City	Monthly/Quarterly
`SimilarCompositeCompanies`	Our composite similarity score. · Related: The Data City guide · Nested object — see CompanySimilarity	`array[companysimilarity]`	The Data City	Monthly/Quarterly
`CompanyExports`	HMRC export trade data for the company. · Related: HMRC guide	`array[companytrade]`	HMRC	Monthly
`CompanyImports`	HMRC import trade data for the company. · Related: HMRC guide	`array[companytrade]`	HMRC	Monthly
`CompanyDescription`	Takes the description from the description meta tag from the homepage and the about page. We check this is in English. · Download name: `Description`	`string`	Web Scraping	Monthly/Quarterly
`Homepage_domain`	Goes through the large web-scraping/matching process. · Related: Web Scraping guide · Download name: `URLs`	`string`	Web Scraping	Monthly/Quarterly
`ESGStatementAnchors`	This is an array of ESG statement anchors. Each anchor is a string that is found in the company’s website text. · Nested object — see ESGStatementAnchor	`array[esgstatementanchor]`	The Data City	Monthly
`TonnesOfC02equivGHGPerYear`	We estimate greenhouse gas emissions based on a published table of total carbon emissions by SIC sector. We assume that carbon emissions are spread equally across all companies within the SIC sector in proportion to their number of employees. Therefore, we only hold an estimate for a limited number of companies. · Related: The Data City guide	`number`	The Data City	Monthly
`InnovationScore`	We present this on the platform as stars but the API is actually a numerical value which gets categorised. The result is a binary classifier. The company is either innovative or it is not. The confidence increases the higher the score. · Related: The Data City guide	`number`	The Data City	Quarterly
`LocationDetails`	An array of location objects with postcode-related fields. · CreditSafe-sourced · Related: Companies House guide · Nested object — see PostcodeDetail_grouped	`array[postcodedetail_grouped]`	Companies House	Monthly
`URLMatchStats`	Based on the URL matching process.	`urlmatchstat`	The Data City	Monthly/Quarterly

​Classification

​Company

​Investment

​Financials

​Job Postings

​Social Media

​Gender

​Group Structure

​Growth

​Keywords

​Officers

​Other

Classification

Company

Investment

Financials

Job Postings

Social Media

Gender

Group Structure

Growth

Keywords

Officers

Other