> ## Documentation Index > Fetch the complete documentation index at: https://docs.thedatacity.com/llms.txt > Use this file to discover all available pages before exploring further. # ClassifiedCompany > 85 fields on the ClassifiedCompany schema — covers Funding, Financials, Employees, Social Media, Classification, Company, Website, Trade, Growth, Job Postings, Group Structure, Investment, Contact, ESG, Gender, Acquisitions, Keywords, Inno… **85 fields** · across **24 categories** · **24** sourced from [CreditSafe](/our-data/third-party-data/creditsafe). This schema is part of Industry Engine. Use the [data dictionary browser](/data-dictionary) 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](https://docs.thedatacity.com/using-industry-engine/features/using-filters#cics) | `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](/our-data/third-party-data/creditsafe) | `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](/our-data/third-party-data/creditsafe) | `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](/data-dictionary/industrial-strategy-sector) | [`array[industrialstrategysector]`](/data-dictionary/industrial-strategy-sector) | 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](/our-data/third-party-data/creditsafe) | `array[string]` | The Data City | Monthly | | `RSICs` | Real-Time SIC (RSIC) codes with associated confidence score · [Related: The Data City guide](https://docs.thedatacity.com/our-data/proprietary-data/what-are-rsics) · Nested object — see [RSIC](/data-dictionary/rsic) | [`array[rsic]`](/data-dictionary/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](https://docs.thedatacity.com/our-data/rtics/what-is-the-difference-between-rtics-sic-codes) | `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](https://docs.thedatacity.com/our-data/rtics/what-is-the-difference-between-rtics-sic-codes) | `array[string]` | Companies House | Monthly | | `SICs` | Companies House data. Nature of business: Standard Industrial Classification (SIC) codes. · [Related: Companies House guide](https://docs.thedatacity.com/our-data/rtics/what-is-the-difference-between-rtics-sic-codes) | `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](/our-data/third-party-data/creditsafe) | `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](/our-data/third-party-data/creditsafe) | `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](/our-data/third-party-data/creditsafe) | `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](https://docs.thedatacity.com/our-data/third-party-data/companies-house) · 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](https://docs.thedatacity.com/our-data/key-data-and-definitions/company-locations) · 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](https://docs.thedatacity.com/our-data/key-data-and-definitions/company-locations) · 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](https://docs.thedatacity.com/our-data/third-party-data/dealroom-data) · Nested object — see [PerRoundInvestment](/data-dictionary/per-round-investment) | [`array[perroundinvestment]`](/data-dictionary/per-round-investment) | 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](https://docs.thedatacity.com/our-data/third-party-data/dealroom-data) | `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](https://docs.thedatacity.com/our-data/third-party-data/dealroom-data) · Nested object — see [PerRoundInvestment](/data-dictionary/per-round-investment) | [`array[perroundinvestment]`](/data-dictionary/per-round-investment) | 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](https://docs.thedatacity.com/our-data/third-party-data/dealroom-data) | `number` | Third-party Investment | Daily | | `LatestRoundDate` | The date of the company's most recent funding round. · [Related: Third-party Investment guide](https://docs.thedatacity.com/our-data/third-party-data/dealroom-data) | `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](https://docs.thedatacity.com/our-data/third-party-data/dealroom-data) | `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](https://docs.thedatacity.com/our-data/third-party-data/dealroom-data) | `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](/our-data/third-party-data/creditsafe) · 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](/our-data/third-party-data/creditsafe) · [Related: The Data City guide](https://docs.thedatacity.com/our-data/key-data-and-definitions/estimated-turnover-employees-growth) · 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](/our-data/third-party-data/creditsafe) · [Related: CreditSafe guide](https://docs.thedatacity.com/our-data/third-party-data/creditsafe) · Download name: `CompanyFinancialsCreditSafe` · Nested object — see [CleanCreditSafeCompany](/data-dictionary/clean-credit-safe-company) | [`array[cleancreditsafecompany]`](/data-dictionary/clean-credit-safe-company) | 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](/our-data/third-party-data/creditsafe) · [Related: ONS; BRES guide](https://docs.thedatacity.com/our-data/key-data-and-definitions/gva-data) · 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](/our-data/third-party-data/creditsafe) · [Related: ONS; BRES guide](https://docs.thedatacity.com/our-data/key-data-and-definitions/gva-data) · 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](/data-dictionary/company-job-posting) | [`array[companyjobposting]`](/data-dictionary/company-job-posting) | 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](/data-dictionary/company-job-posting-by-lot) | [`array[companyjobpostingbylot]`](/data-dictionary/company-job-posting-by-lot) | 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](/data-dictionary/company-job-posting-by-lot-code-over-time) | [`array[companyjobpostingbylotcodeovertime]`](/data-dictionary/company-job-posting-by-lot-code-over-time) | 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](/data-dictionary/company-job-posting-by-common-skill) | [`array[companyjobpostingbycommonskill]`](/data-dictionary/company-job-posting-by-common-skill) | 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](/data-dictionary/company-job-posting-by-soc4-code-over-time) | [`array[companyjobpostingbysoc4codeovertime]`](/data-dictionary/company-job-posting-by-soc4-code-over-time) | 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 | ## Social Media | 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](/our-data/third-party-data/creditsafe) · [Related: The Data City guide](https://docs.thedatacity.com/our-data/proprietary-data/gender-data) · 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](/our-data/third-party-data/creditsafe) · [Related: The Data City guide](https://docs.thedatacity.com/our-data/proprietary-data/gender-data) · 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](/our-data/third-party-data/creditsafe) · [Related: The Data City guide](https://docs.thedatacity.com/our-data/proprietary-data/gender-data) | `womanledstats` | The Data City | Monthly | ## Group Structure | Field name | Description | Data type | Source | Updated | | ---------------------------------------------------------- | -------------------------------------------------------------------------------------------------------- | --------- | --------------- | ------- | | `CompanyNation` | The company nation. · [CreditSafe-sourced](/our-data/third-party-data/creditsafe) | `string` | Companies House | Monthly | | `ParentNation` | The nation of the parent company. · [CreditSafe-sourced](/our-data/third-party-data/creditsafe) | `string` | Companies House | Monthly | | `UltimateParentNation` | The nation of the ultimate parent company. · [CreditSafe-sourced](/our-data/third-party-data/creditsafe) | `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](https://docs.thedatacity.com/our-data/key-data-and-definitions/estimated-turnover-employees-growth) | `companygrowthtrend` | The Data City | Monthly | | `HighGrowth` | A boolean value indicating whether the company is a high growth company. · [Related: The Data City guide](https://docs.thedatacity.com/our-data/key-data-and-definitions/scale-ups) | `boolean` | The Data City | Monthly | | `OECDScaleup` | A boolean value indicating whether the company is an OECD defined scale-up. · [Related: The Data City guide](https://docs.thedatacity.com/our-data/key-data-and-definitions/scale-ups) | `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](https://docs.thedatacity.com/using-industry-engine/tools/using-analyse#website-analysis) | `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](https://docs.thedatacity.com/using-industry-engine/tools/using-analyse#website-analysis) · 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](/our-data/third-party-data/creditsafe) | `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](/our-data/third-party-data/creditsafe) | `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](https://find-and-update.company-information.service.gov.uk/company/10958787/officers) · [CreditSafe-sourced](/our-data/third-party-data/creditsafe) · Nested object — see [Officer](/data-dictionary/officer) | [`array[officer]`](/data-dictionary/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](https://docs.thedatacity.com/our-data/third-party-data/dealroom-data) | `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](https://docs.thedatacity.com/our-data/third-party-data/dealroom-data) | `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](/our-data/third-party-data/creditsafe) · [Related: CreditSafe guide](https://corporate.ctpsonline.org.uk/) · 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](/our-data/third-party-data/creditsafe) · [Related: The Data City guide](https://docs.thedatacity.com/our-data/key-data-and-definitions/estimated-turnover-employees-growth) · 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](/our-data/third-party-data/creditsafe) · [Related: The Data City guide](https://docs.thedatacity.com/our-data/key-data-and-definitions/estimated-turnover-employees-growth) | `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/](https://grantnav.threesixtygiving.org/) · [Related: 360Giving guide](https://docs.thedatacity.com/our-data/third-party-data/360giving-data) · Download name: `360GivingFunding` · Nested object — see [BasicGrant360](/data-dictionary/basic-grant360) | [`array[basicgrant360]`](/data-dictionary/basic-grant360) | 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/](https://www.ukri.org/publications/innovate-uk-funded-projects-since-2004/) · [Related: InnovateUK guide](https://docs.thedatacity.com/our-data/third-party-data/innovate-uk-data) · Nested object — see [InnovateUKFundingClean](/data-dictionary/innovate-uk-funding-clean) | [`array[innovateukfundingclean]`](/data-dictionary/innovate-uk-funding-clean) | 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](https://docs.thedatacity.com/our-data/third-party-data/b-corps) | `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](https://docs.thedatacity.com/our-data/faqs/similar-companies) · Nested object — see [CompanySimilarity](/data-dictionary/company-similarity) | [`array[companysimilarity]`](/data-dictionary/company-similarity) | The Data City | Monthly/Quarterly | | `SimilarCompositeCompanies` | Our composite similarity score. · [Related: The Data City guide](https://docs.thedatacity.com/our-data/faqs/similar-companies) · Nested object — see [CompanySimilarity](/data-dictionary/company-similarity) | [`array[companysimilarity]`](/data-dictionary/company-similarity) | The Data City | Monthly/Quarterly | | `CompanyExports` | HMRC export trade data for the company. · [Related: HMRC guide](https://docs.thedatacity.com/our-data/third-party-data/trade-data) | `array[companytrade]` | HMRC | Monthly | | `CompanyImports` | HMRC import trade data for the company. · [Related: HMRC guide](https://docs.thedatacity.com/our-data/third-party-data/trade-data) | `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](https://docs.thedatacity.com/our-data/key-data-and-definitions/website-matching) · 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](/data-dictionary/esg-statement-anchor) | [`array[esgstatementanchor]`](/data-dictionary/esg-statement-anchor) | 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](https://docs.thedatacity.com/our-data/faqs/how-do-you-get-green-house-emissions-data) | `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](https://docs.thedatacity.com/our-data/proprietary-data/innovation-score) | `number` | The Data City | Quarterly | | `LocationDetails` | An array of location objects with postcode-related fields. · [CreditSafe-sourced](/our-data/third-party-data/creditsafe) · [Related: Companies House guide](https://docs.thedatacity.com/our-data/key-data-and-definitions/company-locations) · Nested object — see [PostcodeDetail\_grouped](/data-dictionary/postcode-detail-grouped) | [`array[postcodedetail_grouped]`](/data-dictionary/postcode-detail-grouped) | Companies House | Monthly | | `URLMatchStats` | Based on the URL matching process. | `urlmatchstat` | The Data City | Monthly/Quarterly |