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Company Trends By Workforce Demographics About Data Sample Data Dictionary API & Integrations Related Bundles Company Trends By Workforce Demographics About Data Sample Data Dictionary API & Integrations Related Bundles Data Sample Company trends by workforce demographics data sample Download Drag columns here to group rows Drag here to set column labels Input Url url Number of professional profiles: selected quarter numeric Number of professional profiles: QoQ numeric Number of professional profiles: YoY numeric Number of updated professional profiles: selected quarter numeric Number of newly added professional profiles: selected quarter numeric Number of professional profiles by country: selected quarter text https://www.progyny.com/ 334.0 0.08 24.09 287.0 3.0 [{"Unknown":1}, {"Canada":1}, {"United States":333}] http://americanaddictioncenters.org/ 629.0 -0.01 0.95 407.0 4.0 [{"United States":626}, {"Australia":1}, {"United Kingdom":2}, {"Unknown":5}] http://kronosfoodsinc.com/ 52.0 0.0 -7.86 34.0 0.0 [{"Canada":6}, {"India":1}, {"Ecuador":2}, {"United States":45}] http://www.everspin.com 87.0 0.01 3.0 71.0 0.0 [{"United States":75}, {"Japan":1}, {"China":1}, {"United Kingdom":1}, {"Italy":1}, {"Singapore":1}, {"Germany":1}, {"Taiwan, Province Of China":6}] http://www.valeritas.com 49.0 0.0 -6.16 31.0 0.0 [{"China":1}, {"United States":49}] http://www.principiabio.com 50.0 0.0 -14.89 38.0 0.0 [{"United States":51}] http://www.docusign.com 7798.0 -0.01 13.58 6357.0 20.0 [{"Sweden":32}, {"Peru":1}, {"United States":5270}, {"Philippines":5}, {"Belgium":5}, {"Indonesia":1}, {"Germany":81}, {"Poland":1}, {"Netherlands":10}, {"Singapore":82}, {"Turkey":1}, {"Canada":179}, {"Senegal":1}, {"Ireland":803}, {"Montserrat":23}, {"Italy":7}, {"Egypt":33}, {"France":179}, {"Australia":327}, {"Spain":13}, {"Panama":1}, {"Switzerland":1}, {"Benin":8}, {"Romania":1}, {"Algeria":1}, {"New Zealand":2}, {"Mexico":87}, {"Portugal":2}, {"Costa Rica":18}, {"Brazil":381}, {"Unknown":19}, {"Hungary":1}, {"Colombia":1}, {"United Kingdom":125}, {"Norway":1}, {"Morocco":1}, {"Venezuela, Bolivarian Republic Of":1}, {"South Africa":3}, {"Israel":46}, {"Japan":67}, {"India":9}] http://www.quanterix.com 352.0 0.0 -0.78 298.0 3.0 [{"China":6}, {"United States":309}, {"Netherlands":3}, {"United Kingdom":5}, {"Denmark":2}, {"Poland":1}, {"Spain":3}, {"Egypt":1}, {"Switzerland":3}, {"Germany":5}, {"France":5}, {"Belgium":1}, {"Austria":1}, {"Sweden":2}, {"Italy":4}, {"Brazil":1}, {"Canada":2}] https://www.trulieve.com 1169.0 -0.01 12.27 857.0 7.0 [{"Unknown":9}, {"United States":1161}, {"Puerto Rico":1}, {"United Kingdom":1}, {"Singapore":1}, {"Panama":2}] https://www.snap.com 6074.0 0.0 15.03 4695.0 15.0 [{"Unknown":16}, {"Iraq":2}, {"Poland":2}, {"Ireland":14}, {"Uganda":1}, {"Spain":18}, {"Sierra Leone":1}, {"Kenya":1}, {"Romania":2}, {"Austria":35}, {"Mexico":10}, {"Switzerland":20}, {"Egypt":6}, {"Pakistan":3}, {"Brazil":6}, {"Bulgaria":1}, {"Italy":13}, {"Greece":4}, {"Serbia":2}, {"Australia":88}, {"Eswatini":1}, {"Germany":48}, {"Sudan":1}, {"Turkey":2}, {"Hungary":4}, {"Norway":12}, {"Singapore":11}, {"Indonesia":7}, {"Belgium":2}, {"Martinique":1}, {"Croatia":1}, {"Japan":6}, {"Morocco":3}, {"New Zealand":7}, {"United Kingdom":517}, {"Nigeria":2}, {"Slovakia":2}, {"Maldives":1}, {"Iran, Islamic Republic Of":5}, {"Jordan":4}, {"France":88}, {"Lebanon":1}, {"Taiwan, Province Of China":1}, {"India":72}, {"Philippines":1}, {"United States":4403}, {"Canada":151}, {"China":44}, {"Algeria":1}, {"Russian Federation":10}, {"Cyprus":1}, {"Hong Kong":1}, {"Israel":55}, {"Ecuador":4}, {"Korea, Republic Of":10}, {"Ukraine":209}, {"Malaysia":1}, {"Netherlands":43}, {"Albania":1}, {"Argentina":1}, {"Denmark":6}, {"El Salvador":2}, {"Viet Nam":2}, {"Ghana":2}, {"Sweden":12}, {"Uruguay":1}, {"United Arab Emirates":70}, {"Saudi Arabia":16}, {"South Africa":3}] https://www.serviz.com 33.0 -0.03 -2.17 19.0 0.0 [{"Finland":2}, {"United States":25}, {"Mexico":5}, {"Italy":1}] http://siriusxm.com 3936.0 0.02 5.87 3348.0 7.0 [{"Bangladesh":1}, {"Montserrat":1}, {"South Africa":1}, {"Malaysia":3}, {"Dominican Republic":2}, {"Nicaragua":1}, {"Mexico":1}, {"Japan":1}, {"Belgium":1}, {"Ireland":1}, {"Guatemala":1}, {"Philippines":15}, {"Australia":2}, {"Canada":63}, {"Ecuador":1}, {"Turkey":2}, {"Pakistan":1}, {"Unknown":12}, {"United Kingdom":12}, {"Thailand":1}, {"United Arab Emirates":1}, {"Egypt":3}, {"American Samoa":1}, {"Paraguay":1}, {"Portugal":1}, {"Venezuela, Bolivarian Republic Of":1}, {"Brazil":1}, {"United States":3820}, {"India":9}] http://www.vungle.com 203.0 -0.01 -14.71 128.0 0.0 [{"Finland":7}, {"Pakistan":1}, {"Canada":4}, {"India":1}, {"Ireland":1}, {"Korea, Republic Of":3}, {"Unknown":1}, {"Japan":5}, {"Singapore":8}, {"United States":100}, {"China":30}, {"United Kingdom":33}, {"Germany":9}] http://cerecor.com 40.0 0.0 -11.76 34.0 0.0 [{"United States":40}] http://www.datalex.com 176.0 0.02 12.79 114.0 1.0 [{"Jamaica":1}, {"Turkey":2}, {"China":6}, {"Brazil":3}, {"India":1}, {"Ireland":99}, {"South Africa":1}, {"Poland":1}, {"Serbia":1}, {"Unknown":1}, {"United Arab Emirates":1}, {"Nigeria":1}, {"Kenya":1}, {"Netherlands":6}, {"Greece":1}, {"Australia":4}, {"Philippines":4}, {"Romania":1}, {"United States":20}, {"Portugal":2}, {"United Kingdom":18}, {"Canada":2}] http://www.geemedia.com/ 572.0 0.0 -3.81 366.0 0.0 [{"Korea, Republic Of":1}, {"Peru":1}, {"United Arab Emirates":33}, {"South Africa":2}, {"Spain":21}, {"Benin":1}, {"United States":262}, {"Hong Kong":2}, {"Senegal":1}, {"India":42}, {"Philippines":1}, {"Indonesia":2}, {"Israel":1}, {"Colombia":7}, {"United Kingdom":92}, {"Canada":45}, {"Romania":1}, {"New Zealand":2}, {"Australia":2}, {"Serbia":2}, {"Netherlands":1}, {"Germany":4}, {"Norway":3}, {"France":2}, {"Argentina":20}, {"Congo":1}, {"Brazil":8}, {"Unknown":1}, {"Chad":1}, {"China":2}, {"Venezuela, Bolivarian Republic Of":1}, {"Singapore":4}, {"Chile":1}, {"Pakistan":4}] https://www.ymabs.com/ 112.0 -0.07 -4.39 95.0 0.0 [{"Denmark":69}, {"Sweden":1}, {"United States":40}, {"United Kingdom":2}] http://www.apellis.com 754.0 0.03 41.64 651.0 1.0 [{"Unknown":2}, {"Poland":1}, {"Australia":11}, {"United States":666}, {"Canada":5}, {"Austria":4}, {"Italy":3}, {"Germany":16}, {"United Kingdom":8}, {"Spain":2}, {"Ireland":1}, {"France":7}, {"Netherlands":2}, {"Switzerland":30}] http://www.sutrobio.com 235.0 0.04 17.11 203.0 1.0 [{"United States":235}, {"Germany":1}] http://kodak.com 3687.0 0.0 0.24 2270.0 4.0 [{"Saudi Arabia":1}, {"Bangladesh":1}, {"Turkmenistan":1}, {"Uganda":1}, {"Monaco":1}, {"Spain":32}, {"Romania":2}, {"Switzerland":15}, {"China":154}, {"Mexico":137}, {"Korea, Republic Of":5}, {"Ireland":1}, {"Canada":216}, {"Egypt":10}, {"Israel":104}, {"India":126}, {"Iran, Islamic Republic Of":1}, {"Luxembourg":2}, {"Denmark":7}, {"Bulgaria":4}, {"Benin":5}, {"Indonesia":7}, {"Chile":5}, {"Greece":2}, {"Argentina":28}, {"Russian Federation":7}, {"Ukraine":2}, {"Iraq":1}, {"Austria":1}, {"Portugal":3}, {"Croatia":1}, {"Italy":46}, {"Pakistan":5}, {"Unknown":11}, {"Turkey":3}, {"Afghanistan":1}, {"Montserrat":8}, {"Singapore":30}, {"Japan":8}, {"Netherlands":19}, {"Azerbaijan":1}, {"Malaysia":5}, {"Finland":2}, {"Czechia":1}, {"Australia":37}, {"Venezuela, Bolivarian Republic Of":3}, {"Peru":4}, {"Belgium":50}, {"France":77}, {"Armenia":1}, {"Hong Kong":14}, {"United States":2038}, {"Kazakhstan":1}, {"United Kingdom":216}, {"United Arab Emirates":17}, {"Taiwan, Province Of China":2}, {"Oman":1}, {"Panama":4}, {"Macao":1}, {"Nigeria":5}, {"Brazil":58}, {"New Zealand":4}, {"Colombia":4}, {"Tanzania, United Republic Of":1}, {"South Africa":12}, {"Sweden":12}, {"Hungary":2}, {"Dominican Republic":1}, {"Morocco":1}, {"Uruguay":1}, {"Philippines":2}, {"Viet Nam":4}, {"Thailand":3}, {"Jersey":1}, {"Germany":101}, {"Poland":14}] http://www.stagindustrial.com/index.php 100.0 0.02 12.24 85.0 0.0 [{"United States":100}] http://snapfish.com 133.0 0.0 -5.99 81.0 0.0 [{"Peru":1}, {"Malaysia":1}, {"Poland":1}, {"France":3}, {"Israel":1}, {"Mexico":1}, {"Australia":3}, {"China":2}, {"United States":88}, {"United Kingdom":11}, {"Singapore":1}, {"Brazil":1}, {"Ireland":2}, {"Germany":1}, {"Netherlands":1}, {"Canada":2}, {"India":13}] http://gogoair.com 493.0 -0.01 -1.49 365.0 0.0 [{"Saudi Arabia":1}, {"Ecuador":1}, {"Mexico":2}, {"China":6}, {"Benin":1}, {"United Kingdom":12}, {"Unknown":2}, {"Taiwan, Province Of China":1}, {"United States":420}, {"Nigeria":1}, {"Egypt":1}, {"Canada":3}, {"Philippines":1}, {"Tanzania, United Republic Of":1}, {"Israel":1}, {"Paraguay":1}, {"Spain":2}, {"Algeria":1}, {"Venezuela, Bolivarian Republic Of":1}, {"Netherlands":2}, {"Brazil":1}, {"Australia":2}, {"Singapore":3}, {"Serbia":2}, {"Hong Kong":1}, {"Turkey":3}, {"India":24}] http://www.mimecast.com 2154.0 0.04 15.81 1579.0 9.0 [{"Canada":31}, {"India":5}, {"Singapore":9}, {"Australia":127}, {"Zimbabwe":1}, {"Netherlands":34}, {"Spain":3}, {"Germany":49}, {"United Kingdom":664}, {"Poland":9}, {"Japan":1}, {"Greece":1}, {"Portugal":1}, {"Philippines":4}, {"Unknown":4}, {"Ukraine":2}, {"Ireland":4}, {"Sweden":2}, {"United Arab Emirates":16}, {"United States":843}, {"South Africa":304}, {"New Zealand":3}, {"Israel":47}, {"Denmark":1}, {"Bermuda":1}] http://www.sailpoint.com 1457.0 -0.02 -6.79 1174.0 1.0 [{"Saudi Arabia":1}, {"India":136}, {"Denmark":2}, {"Israel":22}, {"South Africa":9}, {"Benin":3}, {"Spain":9}, {"Japan":4}, {"Taiwan, Province Of China":6}, {"Australia":27}, {"Brazil":6}, {"Hong Kong":4}, {"Sweden":7}, {"United Kingdom":84}, {"Germany":20}, {"Malaysia":2}, {"France":23}, {"Argentina":1}, {"Unknown":3}, {"Mexico":14}, {"Norway":1}, {"Netherlands":11}, {"United Arab Emirates":3}, {"Poland":3}, {"Switzerland":8}, {"Belgium":2}, {"Canada":23}, {"Italy":5}, {"Philippines":2}, {"Singapore":20}, {"United States":1003}] http://www.newscorp.com/ 1251.0 0.01 1.31 742.0 4.0 [{"Bangladesh":1}, {"Korea, Republic Of":1}, {"Peru":1}, {"Canada":7}, {"Australia":669}, {"Hong Kong":2}, {"Ukraine":1}, {"India":99}, {"Nicaragua":1}, {"Indonesia":2}, {"Aruba":1}, {"Bulgaria":1}, {"Romania":1}, {"Cambodia":1}, {"Spain":4}, {"Brazil":2}, {"Ireland":8}, {"Thailand":1}, {"Unknown":2}, {"Italy":2}, {"Nigeria":1}, {"United Kingdom":71}, {"Russian Federation":1}, {"France":1}, {"Belgium":2}, {"Dominican Republic":1}, {"China":2}, {"United States":361}, {"Austria":1}, {"Croatia":1}, {"Pakistan":5}, {"Nepal":1}] http://www.f-e-t.com/ 967.0 0.01 1.76 664.0 3.0 [{"Pakistan":1}, {"India":7}, {"Mexico":17}, {"Brazil":3}, {"Italy":1}, {"United Kingdom":139}, {"United States":697}, {"United Arab Emirates":20}, {"Qatar":1}, {"Ukraine":3}, {"Bolivia, Plurinational State Of":1}, {"Singapore":15}, {"China":5}, {"Unknown":4}, {"Australia":1}, {"Germany":8}, {"Kazakhstan":1}, {"Canada":34}, {"Saudi Arabia":13}] http://www.napatech.com 88.0 -0.01 -0.84 62.0 0.0 [{"United States":21}, {"Korea, Republic Of":1}, {"Taiwan, Province Of China":2}, {"Sweden":3}, {"China":1}, {"Denmark":57}, {"Ireland":1}, {"Norway":1}, {"Spain":1}] http://www.affinity.com 180.0 0.05 30.23 120.0 1.0 [{"United States":9}, {"China":1}, {"Canada":19}, {"Brazil":1}, {"United Arab Emirates":1}, {"Panama":2}, {"United Kingdom":2}, {"India":145}, {"Indonesia":2}, {"Philippines":1}] http://www.mrcglobal.com 2367.0 0.01 1.24 1678.0 5.0 [{"Bangladesh":1}, {"Korea, Republic Of":1}, {"Turkey":5}, {"Saudi Arabia":3}, {"New Zealand":16}, {"Benin":1}, {"Ghana":1}, {"Monaco":1}, {"Kenya":1}, {"Ukraine":12}, {"India":22}, {"Nigeria":7}, {"Switzerland":1}, {"Japan":1}, {"Togo":1}, {"Romania":1}, {"Ireland":1}, {"Russian Federation":11}, {"Israel":4}, {"Mauritius":3}, {"Sudan":1}, {"South Africa":7}, {"Lao People's Democratic Republic":2}, {"Cambodia":2}, {"Unknown":7}, {"Mexico":3}, {"Iran, Islamic Republic Of":1}, {"Canada":136}, {"Belgium":23}, {"Jordan":1}, {"Egypt":3}, {"Iraq":19}, {"Sri Lanka":1}, {"Qatar":1}, {"Italy":5}, {"Kuwait":3}, {"Malawi":1}, {"China":5}, {"Austria":1}, {"Maldives":2}, {"United States":1586}, {"Madagascar":1}, {"Gambia":10}, {"Uganda":4}, {"Mozambique":1}, {"France":33}, {"Germany":11}, {"Taiwan, Province Of China":1}, {"Australia":74}, {"Singapore":31}, {"Netherlands":39}, {"Belarus":1}, {"Philippines":6}, {"Antigua And Barbuda":1}, {"Pakistan":9}, {"Indonesia":2}, {"Norway":96}, {"Myanmar":4}, {"United Kingdom":95}, {"Guatemala":1}, {"Cuba":1}, {"Thailand":7}, {"Hong Kong":5}, {"United Arab Emirates":13}, {"Bahrain":1}, {"Kazakhstan":4}, {"Mongolia":3}, {"Colombia":1}, {"Finland":4}, {"Malaysia":7}, {"Portugal":1}, {"Morocco":1}, {"Spain":2}, {"Brazil":9}, {"Botswana":1}, {"Nepal":1}] http://www.calithera.com 63.0 -0.03 -9.44 57.0 0.0 [{"United States":63}] to of Page of Signals: 34 Geographic Coverage: Global Popular Use-cases: Know your customer Minimum Inputs: Url Company trends by workforce demographics data with Explorium When using company trends by workforce demographics data with Explorium, you can seamlessly empower your workflows with more company growth indicators data, and thousands of other business, individual, and geolocation attributes. The External Data Cloud lets you easily find relevant attributes for any business goal. Company trends by workforce demographics is just where you start! Speak with an expert Data Dictionary Company trends by workforce demographics signals (34) Download Number of professional profiles: selected quarter Numeric Indicates the number of employees working for the company. Calculated by counting the number of professional profiles listing the company as the individual's current worplace. The selected quarter timeframe is specified in the 'quarter' signal. Number of professional profiles: QoQ Numeric Quarter-over-quarter rate of change in the number of employees working for the company. Indicated by the company listed as the individual's workplace on their professional profile. Calculation: (Selected quarter number of profiles / previous quarter number of profiles) - 1. Number of professional profiles: YoY Numeric Year-over-year rate of change in the number of employees working for the company. Indicated by the company listed as the individual's workplace on their professional profile. Calculation: (Selected quarter's number of profiles over 12 month period / previous year number of profiles over 12 month period) - 1. Timeframe: If Q3 2019 is selected, the 12 month period spans Q4 2018-Q3 2019. And the previous year spans Q4 2017 - Q3 2018. Number of updated professional profiles: selected quarter Numeric Number of professional profiles associated with the company's employees that were updated over the selected quarter. An update to a professional profile involves adding/removing values to the following fields: experience, education, and skills. The selected quarter timeframe is specified in the 'quarter' signal. Number of newly added professional profiles: selected quarter Numeric Indicates the number of new employees that joined the company over the selected quarter. Calculated by counting the number of professional profiles where a new entry listing the company as the individual's workplace were created. Timeframe is specified in the quarter signal. Number of professional profiles by country: selected quarter Text List of the estimated number of employees working for the company per country of residence. Calculation: number of professional profiles listing the company as the individual's workplace by country of residence. If professional profiles exist without disclosing country of residence, category name is 'unknown'. If all professional profiles associated with the company have 'unknown' country of residence, returned values is null. Number of countries associated with employees: selected quarter Numeric Number of countries listed on the company employee's professional profiles as their current residence. Country of residence and the company's country location may differ. Number of countries associated with employees: QoQ Numeric Quarter-over-quarter rate of change in the number of countries listed on the company employee's professional profiles as their current residence. Country of residence and the company's country location may differ. Calculation: (Selected quarter number of countries listed on profiles / previous quarter number of countries listed on profiles) - 1. Number of countries associated with employees: YoY Numeric Year-over-year rate of change in the number of countries listed on the company employee's professional profiles as their current residence. Country of residence and the company's country location may differ. Calculation: (Selected quarter's number of countries listed on profiles over 12 month period / previous year number of countries listed on profiles over 12 month period) - 1. Timeframe: If Q3 2019 is selected, the 12 month period spans Q4 2018-Q3 2019. And the previous year spans Q4 2017 - Q3 2018. Number of employees ages 19-30: selected quarter Numeric Number of company employees estimated to be in the 19-30 age group during the selected quarter. Number of employees ages 31-40: selected quarter Numeric Number of company employees estimated to be in the 31-40 age group during the selected quarter. Number of employees ages 41-50: selected quarter Numeric Number of company employees estimated to be in the 41-50 age group during the selected quarter. Number of employees ages 51-60: selected quarter Numeric Number of company employees estimated to be in the 51-60 age group during the selected quarter. Number of employees over age 60: selected quarter Numeric Number of company employees estimated to be in the over 60 age group during the selected quarter. Number of employees ages 19-30: QoQ Numeric Quarter-over-quarter rate of change in the number of company employees estimated to be in the 19-30 age group. Calculation: (Selected quarter number of employees in age group / previous quarter number of employees in age group) - 1. Number of employees ages 31-40: QoQ Numeric Quarter-over-quarter rate of change in the number of company employees estimated to be in the 31-40 age group. Calculation: (Selected quarter number of employees in age group / previous quarter number of employees in age group) - 1. Number of employees ages 41-50: QoQ Numeric Quarter-over-quarter rate of change in the number of company employees estimated to be in the 41-50 age group. Calculation: (Selected quarter number of employees in age group / previous quarter number of employees in age group) - 1. Number of employees ages 51-60: QoQ Numeric Quarter-over-quarter rate of change in the number of company employees estimated to be in the 51-60 age group. Calculation: (Selected quarter number of employees in age group / previous quarter number of employees in age group) - 1. Number of employees over age 60: QoQ Numeric Quarter-over-quarter rate of change in the number of company employees estimated to be in the over 60 age group. Calculation: (Selected quarter number of employees in age group / previous quarter number of employees in age group) - 1. Number of employees ages 19-30: YoY Numeric Year-over-year rate of change in the number of company employees estimated to be in the 19-30 age group. Calculation: (Selected quarter's number of employees in age group over 12 month period / previous year number of employees in age group over 12 month period) - 1. Timeframe: If Q3 2019 is selected, the 12 month period spans Q4 2018-Q3 2019. And the previous year spans Q4 2017 - Q3 2018. Number of employees ages 31-40: YoY Numeric Year-over-year rate of change in the number of company employees estimated to be in the 31-40 age group. Calculation: (Selected quarter's number of employees in age group over 12 month period / previous year number of employees in age group over 12 month period) - 1. Timeframe: If Q3 2019 is selected, the 12 month period spans Q4 2018-Q3 2019. And the previous year spans Q4 2017 - Q3 2018. Number of employees ages 41-50: YoY Numeric Year-over-year rate of change in the number of company employees estimated to be in the 41-50 age group. Calculation: (Selected quarter's number of employees in age group over 12 month period / previous year number of employees in age group over 12 month period) - 1. Timeframe: If Q3 2019 is selected, the 12 month period spans Q4 2018-Q3 2019. And the previous year spans Q4 2017 - Q3 2018. Number of employees ages 51-60: YoY Numeric Year-over-year rate of change in the number of company employees estimated to be in the 51-60 age group. Calculation: (Selected quarter's number of employees in age group over 12 month period / previous year number of employees in age group over 12 month period) - 1. Timeframe: If Q3 2019 is selected, the 12 month period spans Q4 2018-Q3 2019. And the previous year spans Q4 2017 - Q3 2018 Number of employees over 60: YoY Numeric Year-over-year rate of change in the number of company employees estimated to be in the over 60 age group. Calculation: (Selected quarter's number of employees in age group over 12 month period / previous year number of employees in age group over 12 month period) - 1. Timeframe: If Q3 2019 is selected, the 12 month period spans Q4 2018-Q3 2019. And the previous year spans Q4 2017 - Q3 2018. Number of female employees: selected quarter Numeric Number of female company employees during the selected quarter. Calculation: combination of employee reports and statistical estimations. Number of female employees: QoQ Numeric Quarter-over-quarter rate of change in the number of female company employees. Calculation: (Selected quarter number of female employees / previous quarter number of female employees) - 1. Number of female employees: YoY Numeric Year-over-year rate of change in the number of female company employees. Calculation: (Selected quarter's number of female employees over 12 month period / previous year number of female employees over 12 month period) - 1. Timeframe: If Q3 2019 is selected, the 12 month period spans Q4 2018-Q3 2019. And the previous year spans Q4 2017 - Q3 2018. Number of male employees: selected quarter Numeric Number of male company employees during the selected quarter. Calculation: combination of employee reports and statistical estimations. Number of male employees: QoQ Numeric Quarter-over-quarter rate of change in the number of male company employees. Calculation: (Selected quarter number of male employees / previous quarter number of male employees) - 1. Number of male employees: YoY Numeric Year-over-year rate of change in the number of male company employees. Calculation: (Selected quarter's number of male employees over 12 month period / previous year number of male employees over 12 month period) - 1. Timeframe: If Q3 2019 is selected, the 12 month period spans Q4 2018-Q3 2019. And the previous year spans Q4 2017 - Q3 2018. Average employee tenure in years: selected quarter Numeric Average number of years employees have worked for the company during the selected quarter. Average employee tenure in years: QoQ Numeric Quarter-over-quarter rate of change in the average number of years employees have worked for the company. Calculation: (Selected quarter average employee tenure in years / previous quarter average employee tenure in years) - 1. Average employee tenure in years: YoY Numeric Year-over-year rate of change in the average number of years employees have worked for the company. Calculation: (Selected quarter's average employee tenure in years over 12 month period / previous year average employee tenure in years over 12 month period) - 1. Timeframe: If Q3 2019 is selected, the 12 month period spans Q4 2018-Q3 2019. And the previous year spans Q4 2017 - Q3 2018. Calendar year quarter Quarter Returns the calendar quarter containing the selected date, formatted YYYY-QQ. E.g if selected date is 2021-08-24, returned value is 2021-Q3. If no date is selected, default quarter is the most recently completed calendar quarter e.g if current date is April 1st 2023, and no date is selected, default returned value is 2023-Q1. INTEGRATE WITH YOUR TECH STACK, FRAMEWORK OR PLATFORM EXPLORIUM DATA API Consume Explorium signals to your analytics solution or CRM. Integrate the world's best B2B data into any workflow. Get API key API Documentation cURL Python JavaScript curl --request POST \ --url 'https://app.explorium.ai/api/bundle/v1/enrich/company-trends-by-workforce-demographics' \ --header 'API_KEY: <YOUR_API_KEY>' \ --header 'Content-Type: application/json' \ --data ' [{ "url": "bestversionmedia.com" }]' INTEGRATIONS Easily integrate Explorium data into your workflows. Supercharge your processes with external data without a single line of code. Start free Salesforce HubSpot Snowflake AWS S3 Postgres MySQL Google BigQuery Microsoft Azure Blob SFTP RELATED BUNDLES WORKFORCE TRENDS BY EMPLOYEE DEMOGRAPHICS Company trends based on employee statistics and aggregations by quarter. This bundle includes information on the company's employees, including parameters such as their age, identified gender, education level, and more. The bundle displays the rate of change between the selected quarter and the prior one, enabling an accessible benchmark for company evaluation. Historical data available since the year 2000, with coverage on over 7.6M companies. All addresses and locations associated with the company are current. If no date is requested, the bundle’s default is to display data relevant to the most recent quarter and is updated quarterly. ... See more 28 signals Global Lead scoring Business fraud detection +15 WORKFORCE TRENDS BY EMPLOYEE LEVEL Company trends based on employee statistics and aggregations by quarter. This bundle includes information on the company's management, C-level, and senior employees such as how long they've worked at the company, their education level, and more. The bundle displays the rate of change between the selected quarter and the prior one, enabling an accessible benchmark for company evolution. Historical data available since the year 2000, with coverage of over 7.6M companies. All addresses and locations associated with the company are current. If no date is requested, the bundle’s default is to display data relevant to the most recent quarter and is updated quarterly. ... See more 40 signals Global Lead scoring Business credit risk (prescreen) +15 WORKFORCE TRENDS BY COMPANY DEPARTMENT Company trends based on employee statistics and aggregations by quarter. This bundle includes information on the employees in the company's departments, and changes in the departments over time, providing a unique x-ray view of the inner workings of a company. The bundle displays the rate of change between the selected quarter and the prior one, enabling an accessible benchmark for company evolution. Historical data available since year 2000, with over 7.6M companies covered. All addresses and locations associated with the company are current. If no date is requested, the bundle’s default is to display data relevant to the most recent quarter and is updated quarterly. ... See more 33 signals Global Lead scoring Insurance claim prediction +14 FUNDING AND ACQUISITIONS FOR PUBLIC AND PRIVATE COMPANIES Highlights information regarding the funding, acquisitions, and IPOs of over ~300K private and public companies. The data is based on up to 10 of the most recent transactions of a company. Updates quarterly. ... See more 22 signals Global Lead scoring Know your customer +3 FINANCIAL METRICS FOR PUBLIC COMPANIES When provided with a specific date and a ticker, this bundle provides financial metrics and indicators for publicly traded companies worldwide. The quarterly data corresponds to the company's fiscal quarter that is queried. The features in this bundle can provide both current and historical data going back 20 years such as the yearly revenue by fiscal year, Quarterly Return On Capital, Total shareholder return, and more. This data is originally sourced from the SEC (US Securities and Exchange Commission), and from a variety of stock markets such as NYSE, NASDAQ, AMEX, EURONEXT, TSX, etc. ... See more 17 signals Global Lead scoring Know your customer FINANCIAL METRICS FOR PUBLIC COMPANIES When provided with a specific date and a ticker, this bundle provides financial metrics and indicators for publicly traded companies worldwide. The quarterly data corresponds to the company's fiscal quarter that is queried. The features in this bundle can provide both current and historical data going back 20 years such as the yearly revenue by fiscal year, Quarterly Return On Capital, Total shareholder return, and more. This data is originally sourced from the SEC (US Securities and Exchange Commission), and from a variety of stock markets such as NYSE, NASDAQ, AMEX, EURONEXT, TSX, etc. ... See more 17 signals Global Lead scoring Know your customer INTENT DATA AND IT SPENDING Access signals indicating if a company is interested in a category or subject. For additional details enrich using the ‘Intent metrics list’ to view a full list of the subjects, products, and services that interest a company, scores gauging the company's interest in a topic, and more information such as IT department spending. High levels of interest in a subject are used to assess a company's intent to purchase certain products and services. Using the provided score on a scale of 0-100, with higher scores indicating higher interest in a product or subject, leverage for lead scoring use cases, and more. If the returned value is 'null', records for the company are not available at this time. Visit Explorium's resource center and search for 'Intent Data' and the category name to access a list of the top 20 most common subjects in each category. Updated quarterly. ... See more 32 signals Global Lead scoring Business fraud detection +4 FIRMOGRAPHICS Essential information on global companies, including revenue, company size, and more for a specific site or for all company sites. This data source combines and cross-checks information between multiple sources of data to provide as much coverage and accuracy as possible. ... See more 66 signals Global Lead scoring Business fraud detection +4 TECHNOGRAPHICS Access and overview of the internal technologies used by companies. Technographic data is commonly used for lead scoring and lead filtering use cases. Technographic bundle combines data collected from multiple legacy data vendors and publicly available data leveraging Explorium's data inference models. Updated quarterly. ... See more 22 signals US Lead scoring Know your customer WEBSTACK Overview of the technologies used to construct a website. Technologies are identified by ‘indicative signals’ from the domain that are affected by the website forming technologies. Additional metadata found on the website is accessible in this bundle. ... See more 76 signals Global Lead scoring Business fraud detection +16 Sign up for free Try Explorium External Data Cloud today. No credit card required. Your business email Sign up with your email Already have an account? Log in OR Sign up with Google (Business) I agree to Explorium's terms of use and privacy policy Creation starts here. Request a Demo Platform External Data CloudIntegrationsAPI Documentation Solutions Lead & Account ScoringLead EnrichmentPipeline GenerationCRM EnrichmentLead & Account QualificationLead & Account DeduplicationExplorium for SalesExplorium for MarketingExplorium for Data & Analytics Resources Resource centerBlogDocumentation Company CareersAboutCustomersContact us © 2022 Explorium Privacy policyPlatform privacy policySecurity