74 datasets found
  1. d

    Listing of Active Businesses

    • catalog.data.gov
    Updated Sep 20, 2025
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    data.lacity.org (2025). Listing of Active Businesses [Dataset]. https://catalog.data.gov/dataset/listing-of-active-businesses
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    Dataset updated
    Sep 20, 2025
    Dataset provided by
    data.lacity.org
    Description

    Listing of all active businesses currently registered with the Office of Finance. An "active" business is defined as a registered business whose owner has not notified the Office of Finance of a cease of business operations. Update Interval: Monthly. NAICS Codes are from 2007 NAICS: https://www.census.gov/cgi-bin/sssd/naics/naicsrch?chart=2007

  2. N

    NYC Business Acceleration Businesses Served and Jobs Created

    • data.cityofnewyork.us
    application/rdfxml +5
    Updated May 20, 2019
    + more versions
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    Department of Small Business Services (SBS) (2019). NYC Business Acceleration Businesses Served and Jobs Created [Dataset]. https://data.cityofnewyork.us/Business/NYC-Business-Acceleration-Businesses-Served-and-Jo/9b9u-8989
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    csv, application/rdfxml, application/rssxml, json, tsv, xmlAvailable download formats
    Dataset updated
    May 20, 2019
    Dataset authored and provided by
    Department of Small Business Services (SBS)
    Area covered
    New York
    Description

    The list tracks the number of businesses that NYC Business Acceleration has assisted in opening and how many jobs were created by those businesses. This data is up to date as of the date reflected in the "About" tab of this dataset.

  3. T

    United States - Total Business Sales

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Feb 18, 2020
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    TRADING ECONOMICS (2020). United States - Total Business Sales [Dataset]. https://tradingeconomics.com/united-states/total-business-sales-mil-of-dollar-fed-data.html
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    excel, csv, xml, jsonAvailable download formats
    Dataset updated
    Feb 18, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    United States - Total Business Sales was 1733841.00000 Mil. of $ in February of 2025, according to the United States Federal Reserve. Historically, United States - Total Business Sales reached a record high of 1974148.00000 in December of 2024 and a record low of 478951.00000 in January of 1992. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Total Business Sales - last updated from the United States Federal Reserve on September of 2025.

  4. F

    Number of Business Failures for United States

    • fred.stlouisfed.org
    json
    Updated Aug 17, 2012
    + more versions
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    (2012). Number of Business Failures for United States [Dataset]. https://fred.stlouisfed.org/series/M09028USM474NNBR
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    jsonAvailable download formats
    Dataset updated
    Aug 17, 2012
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    United States
    Description

    Graph and download economic data for Number of Business Failures for United States (M09028USM474NNBR) from Jan 1893 to Jan 1933 about failures, business, and USA.

  5. p

    Media companies Business Data for United States

    • poidata.io
    csv, json
    Updated Sep 1, 2025
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    Business Data Provider (2025). Media companies Business Data for United States [Dataset]. https://www.poidata.io/report/media-company/united-states
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    json, csvAvailable download formats
    Dataset updated
    Sep 1, 2025
    Dataset authored and provided by
    Business Data Provider
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    United States
    Variables measured
    Website URL, Phone Number, Review Count, Business Name, Email Address, Business Hours, Customer Rating, Business Address, Business Categories, Geographic Coordinates
    Description

    Comprehensive dataset containing 16,422 verified Media company businesses in United States with complete contact information, ratings, reviews, and location data.

  6. Company Financial Data | Private & Public Companies | Verified Profiles &...

    • datarade.ai
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    Success.ai, Company Financial Data | Private & Public Companies | Verified Profiles & Contact Data | Best Price Guaranteed [Dataset]. https://datarade.ai/data-products/b2b-contact-data-premium-us-contact-data-us-b2b-contact-d-success-ai
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset provided by
    Area covered
    Togo, Iceland, Georgia, United Kingdom, Guam, Suriname, Korea (Democratic People's Republic of), Dominican Republic, Antigua and Barbuda, Montserrat
    Description

    Success.ai offers a cutting-edge solution for businesses and organizations seeking Company Financial Data on private and public companies. Our comprehensive database is meticulously crafted to provide verified profiles, including contact details for financial decision-makers such as CFOs, financial analysts, corporate treasurers, and other key stakeholders. This robust dataset is continuously updated and validated using AI technology to ensure accuracy and relevance, empowering businesses to make informed decisions and optimize their financial strategies.

    Key Features of Success.ai's Company Financial Data:

    Global Coverage: Access data from over 70 million businesses worldwide, including public and private companies across all major industries and regions. Our datasets span 250+ countries, offering extensive reach for your financial analysis and market research.

    Detailed Financial Profiles: Gain insights into company financials, including revenue, profit margins, funding rounds, and operational costs. Profiles are enriched with key contact details, including work emails, phone numbers, and physical addresses, ensuring direct access to decision-makers.

    Industry-Specific Data: Tailored datasets for sectors such as financial services, manufacturing, technology, healthcare, and energy, among others. Each dataset is customized to meet the unique needs of industry professionals and analysts.

    Real-Time Accuracy: With continuous updates powered by AI-driven validation, our financial data maintains a 99% accuracy rate, ensuring you have access to the most reliable and up-to-date information available.

    Compliance and Security: All data is collected and processed in strict adherence to global compliance standards, including GDPR, ensuring ethical and lawful usage.

    Why Choose Success.ai for Company Financial Data?

    Best Price Guarantee: We pride ourselves on offering the most competitive pricing in the industry, ensuring you receive unparalleled value for comprehensive financial data.

    AI-Validated Accuracy: Our advanced AI algorithms meticulously verify every data point to ensure precision and reliability, helping you avoid costly errors in your financial decision-making.

    Customized Data Solutions: Whether you need data for a specific region, industry, or type of business, we tailor our datasets to align perfectly with your requirements.

    Scalable Data Access: From small startups to global enterprises, our platform caters to businesses of all sizes, delivering scalable solutions to suit your operational needs.

    Comprehensive Use Cases for Financial Data:

    1. Strategic Financial Planning:

    Leverage our detailed financial profiles to create accurate budgets, forecasts, and strategic plans. Gain insights into competitors’ financial health and market positions to make data-driven decisions.

    1. Mergers and Acquisitions (M&A):

    Access key financial details and contact information to streamline your M&A processes. Identify potential acquisition targets or partners with verified profiles and financial data.

    1. Investment Analysis:

    Evaluate the financial performance of public and private companies for informed investment decisions. Use our data to identify growth opportunities and assess risk factors.

    1. Lead Generation and Sales:

    Enhance your sales outreach by targeting CFOs, financial analysts, and other decision-makers with verified contact details. Utilize accurate email and phone data to increase conversion rates.

    1. Market Research:

    Understand market trends and financial benchmarks with our industry-specific datasets. Use the data for competitive analysis, benchmarking, and identifying market gaps.

    APIs to Power Your Financial Strategies:

    Enrichment API: Integrate real-time updates into your systems with our Enrichment API. Keep your financial data accurate and current to drive dynamic decision-making and maintain a competitive edge.

    Lead Generation API: Supercharge your lead generation efforts with access to verified contact details for key financial decision-makers. Perfect for personalized outreach and targeted campaigns.

    Tailored Solutions for Industry Professionals:

    Financial Services Firms: Gain detailed insights into revenue streams, funding rounds, and operational costs for competitor analysis and client acquisition.

    Corporate Finance Teams: Enhance decision-making with precise data on industry trends and benchmarks.

    Consulting Firms: Deliver informed recommendations to clients with access to detailed financial datasets and key stakeholder profiles.

    Investment Firms: Identify potential investment opportunities with verified data on financial performance and market positioning.

    What Sets Success.ai Apart?

    Extensive Database: Access detailed financial data for 70M+ companies worldwide, including small businesses, startups, and large corporations.

    Ethical Practices: Our data collection and processing methods are fully comp...

  7. 2022 Economic Surveys: AB00MYCSA01C | Annual Business Survey: Statistics for...

    • test.data.census.gov
    Updated Dec 19, 2024
    + more versions
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    ECN (2024). 2022 Economic Surveys: AB00MYCSA01C | Annual Business Survey: Statistics for Employer Firms by Race for the U.S.: 2022 (ECNSVY Annual Business Survey Company Summary) [Dataset]. https://test.data.census.gov/table/ABSCS2022.AB00MYCSA01C?q=22:+Utilities
    Explore at:
    Dataset updated
    Dec 19, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    ECN
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    2022
    Area covered
    United States
    Description

    Key Table Information.Table Title.Annual Business Survey: Statistics for Employer Firms by Race for the U.S.: 2022.Table ID.ABSCS2022.AB00MYCSA01C.Survey/Program.Economic Surveys.Year.2022.Dataset.ECNSVY Annual Business Survey Company Summary.Release Date.2024-12-19.Release Schedule.The Annual Business Survey (ABS) occurs every year, beginning in reference year 2017.For more information about ABS planned data product releases, see Tentative ABS Schedule..Dataset Universe.The dataset universe consists of employer firms that are in operation for at least some part of the reference year, are located in one of the 50 U.S. states, associated offshore areas, or the District of Columbia, have paid employees and annual receipts of $1,000 or more, and are classified in one of nineteen in-scope sectors defined by the 2022 North American Industry Classification System (NAICS), except for NAICS 111, 112, 482, 491, 521, 525, 813, 814, and 92 which are not covered..Sponsor.National Center for Science and Engineering Statistics, U.S. National Science Foundation.Methodology.Data Items and Other Identifying Records.Number of employer firms (firms with paid employees)Sales and receipts of employer firms (reported in $1,000s of dollars)Number of employees (during the March 12 pay period)Annual payroll (reported in $1,000s of dollars)These data are aggregated by the following demographic classifications of firm for:All firms Classifiable (firms classifiable by sex, ethnicity, race, and veteran status) Race White Black or African American American Indian and Alaska Native Asian Asian Indian Chinese Filipino Japanese Korean Vietnamese Other Asian Native Hawaiian and Other Pacific Islander Native Hawaiian Guamanian or Chamorro Samoan Other Pacific Islander Minority (Firms classified as any race and ethnicity combination other than non-Hispanic and White) Equally minority/nonminority Nonminority (Firms classified as non-Hispanic and White) Unclassifiable (firms not classifiable by sex, ethnicity, race, and veteran status) Definitions can be found by clicking on the column header in the table or by accessing the Economic Census Glossary..Unit(s) of Observation.The reporting units for the ABS are employer companies or firms rather than establishments. A company or firm is comprised of one or more in-scope establishments that operate under the ownership or control of a single organization..Geography Coverage.The data are shown for the U.S. only.For information about geographies, see Geographies..Industry Coverage.The data are shown for the total of all sectors ("00") NAICS code. Sector "00" is not an official NAICS sector but is rather a way to indicate a total for multiple sectors. Note: Other programs outside of ABS may use sector 00 to indicate when multiple NAICS sectors are being displayed within the same table and/or dataset.The following are excluded from the total of all sectors:Crop and Animal Production (NAICS 111 and 112)Rail Transportation (NAICS 482)Postal Service (NAICS 491)Monetary Authorities-Central Bank (NAICS 521)Funds, Trusts, and Other Financial Vehicles (NAICS 525)Office of Notaries (NAICS 541120)Religious, Grantmaking, Civic, Professional, and Similar Organizations (NAICS 813)Private Households (NAICS 814)Public Administration (NAICS 92)For information about NAICS, see North American Industry Classification System..Sampling.The ABS sample includes firms that are selected with certainty if they have known research and development activities, were included in the 2022 BERD sample, or have high receipts, payroll, or employment. Total sample size is 850,000 firms. The universe is stratified by state, industry group, and expected demographic group. Firms selected to the sample receive a questionnaire. For all data on this table, firms not selected into the sample are represented with administrative, 2022 Economic Census, or other economic surveys records.For more information about the sample design, see Annual Business Survey Methodology..Confidentiality.The Census Bureau has reviewed this data product to ensure appropriate access, use, and disclosure avoidance protection of the confidential source data (Project No. P-7504866, Disclosure Review Board (DRB) approval number: CBDRB-FY24-0351).To protect confidentiality, the U.S. Census Bureau suppresses cell values to minimize the risk of identifying a particular business' data or identity.To comply with data quality standards, data rows with high relative standard errors (RSE) are not presented. Additionally, firm counts are suppressed when other select statistics in the same row are suppressed. More information on disclosure avoidance is available in the Annual Business Survey Methodology..Technical Documentation/Methodology.For detailed information about the methods used to collect data and produce statistics, survey questionnaires, Primary Business Activity/NAICS codes, and more, see Technical Documentation..Weights.For more information about weighting, see An...

  8. T

    United States Corporate Profits

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Sep 25, 2025
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    TRADING ECONOMICS (2025). United States Corporate Profits [Dataset]. https://tradingeconomics.com/united-states/corporate-profits
    Explore at:
    excel, xml, json, csvAvailable download formats
    Dataset updated
    Sep 25, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 31, 1947 - Jun 30, 2025
    Area covered
    United States
    Description

    Corporate Profits in the United States increased to 3259.41 USD Billion in the second quarter of 2025 from 3252.44 USD Billion in the first quarter of 2025. This dataset provides the latest reported value for - United States Corporate Profits - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  9. Qualified Nonmetropolitan County - Dataset - U.S. Small Business...

    • data.sba.gov
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    sba.gov, Qualified Nonmetropolitan County - Dataset - U.S. Small Business Administration (SBA) | Open Data [Dataset]. https://data.sba.gov/es/dataset/countydesignations
    Explore at:
    Dataset provided by
    Small Business Administrationhttps://www.sba.gov/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    United States
    Description

    Only counties in nonmetropolitan areas may be eligible for HUBZone designated status. In order for a nonmetropolitan county to qualify: the median household income in the county must be less than 80% of the nonmetropolitan state median household income, or the unemployment rate in the county must be at least 140% of either the national or state unemployment rate, or the county is classified as a Difficult Development Area, as designated by HUD within Alaska, Hawaii, or any territory or possession of the United States, outside of the 48 contiguous states.

  10. Dynamic Small Business Search (DSBS)

    • catalog.data.gov
    Updated Apr 11, 2023
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    Small Business Administration (2023). Dynamic Small Business Search (DSBS) [Dataset]. https://catalog.data.gov/dataset/dynamic-small-business-search-dsbs-4f0da
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    Dataset updated
    Apr 11, 2023
    Dataset provided by
    Small Business Administrationhttps://www.sba.gov/
    Description

    The Small Business Administration maintains the Dynamic Small Business Search (DSBS) database. As a small business registers in the System for Award Management, there is an opportunity to fill out the small business profile. The information provided populates DSBS. DSBS is another tool contracting officers use to identify potential small business contractors for upcoming contracting opportunities. Small businesses can also use DSBS to identify other small businesses for teaming and joint venturing.

  11. p

    Organic food stores Business Data for United States

    • poidata.io
    csv, json
    Updated Sep 11, 2025
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    Business Data Provider (2025). Organic food stores Business Data for United States [Dataset]. https://www.poidata.io/report/organic-food-store/united-states
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Sep 11, 2025
    Dataset authored and provided by
    Business Data Provider
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    United States
    Variables measured
    Website URL, Phone Number, Review Count, Business Name, Email Address, Business Hours, Customer Rating, Business Address, Business Categories, Geographic Coordinates
    Description

    Comprehensive dataset containing 6,325 verified Organic food store businesses in United States with complete contact information, ratings, reviews, and location data.

  12. Small Business Contact Data | North American Small Business Owners |...

    • datarade.ai
    Updated Oct 27, 2021
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    Success.ai (2021). Small Business Contact Data | North American Small Business Owners | Verified Contact Details from 170M Profiles | Best Price Guaranteed [Dataset]. https://datarade.ai/data-products/small-business-contact-data-north-american-small-business-o-success-ai
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Oct 27, 2021
    Dataset provided by
    Area covered
    Mexico, Honduras, Panama, United States of America, Guatemala, Belize, Greenland, Bermuda, Costa Rica, Saint Pierre and Miquelon
    Description

    Access B2B Contact Data for North American Small Business Owners with Success.ai—your go-to provider for verified, high-quality business datasets. This dataset is tailored for businesses, agencies, and professionals seeking direct access to decision-makers within the small business ecosystem across North America. With over 170 million professional profiles, it’s an unparalleled resource for powering your marketing, sales, and lead generation efforts.

    Key Features of the Dataset:

    Verified Contact Details

    Includes accurate and up-to-date email addresses and phone numbers to ensure you reach your targets reliably.

    AI-validated for 99% accuracy, eliminating errors and reducing wasted efforts.

    Detailed Professional Insights

    Comprehensive data points include job titles, skills, work experience, and education to enable precise segmentation and targeting.

    Enriched with insights into decision-making roles, helping you connect directly with small business owners, CEOs, and other key stakeholders.

    Business-Specific Information

    Covers essential details such as industry, company size, location, and more, enabling you to tailor your campaigns effectively. Ideal for profiling and understanding the unique needs of small businesses.

    Continuously Updated Data

    Our dataset is maintained and updated regularly to ensure relevance and accuracy in fast-changing market conditions. New business contacts are added frequently, helping you stay ahead of the competition.

    Why Choose Success.ai?

    At Success.ai, we understand the critical importance of high-quality data for your business success. Here’s why our dataset stands out:

    Tailored for Small Business Engagement Focused specifically on North American small business owners, this dataset is an invaluable resource for building relationships with SMEs (Small and Medium Enterprises). Whether you’re targeting startups, local businesses, or established small enterprises, our dataset has you covered.

    Comprehensive Coverage Across North America Spanning the United States, Canada, and Mexico, our dataset ensures wide-reaching access to verified small business contacts in the region.

    Categories Tailored to Your Needs Includes highly relevant categories such as Small Business Contact Data, CEO Contact Data, B2B Contact Data, and Email Address Data to match your marketing and sales strategies.

    Customizable and Flexible Choose from a wide range of filtering options to create datasets that meet your exact specifications, including filtering by industry, company size, geographic location, and more.

    Best Price Guaranteed We pride ourselves on offering the most competitive rates without compromising on quality. When you partner with Success.ai, you receive superior data at the best value.

    Seamless Integration Delivered in formats that integrate effortlessly with your CRM, marketing automation, or sales platforms, so you can start acting on the data immediately.

    Use Cases: This dataset empowers you to:

    Drive Sales Growth: Build and refine your sales pipeline by connecting directly with decision-makers in small businesses. Optimize Marketing Campaigns: Launch highly targeted email and phone outreach campaigns with verified contact data. Expand Your Network: Leverage the dataset to build relationships with small business owners and other key figures within the B2B landscape. Improve Data Accuracy: Enhance your existing databases with verified, enriched contact information, reducing bounce rates and increasing ROI. Industries Served: Whether you're in B2B SaaS, digital marketing, consulting, or any field requiring accurate and targeted contact data, this dataset serves industries of all kinds. It is especially useful for professionals focused on:

    Lead Generation Business Development Market Research Sales Outreach Customer Acquisition What’s Included in the Dataset: Each profile provides:

    Full Name Verified Email Address Phone Number (where available) Job Title Company Name Industry Company Size Location Skills and Professional Experience Education Background With over 170 million profiles, you can tap into a wealth of opportunities to expand your reach and grow your business.

    Why High-Quality Contact Data Matters: Accurate, verified contact data is the foundation of any successful B2B strategy. Reaching small business owners and decision-makers directly ensures your message lands where it matters most, reducing costs and improving the effectiveness of your campaigns. By choosing Success.ai, you ensure that every contact in your pipeline is a genuine opportunity.

    Partner with Success.ai for Better Data, Better Results: Success.ai is committed to delivering premium-quality B2B data solutions at scale. With our small business owner dataset, you can unlock the potential of North America's dynamic small business market.

    Get Started Today Request a sample or customize your dataset to fit your unique...

  13. U.S. marketing data spend 2024-2025

    • statista.com
    Updated Jun 25, 2025
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    Statista (2025). U.S. marketing data spend 2024-2025 [Dataset]. https://www.statista.com/statistics/818881/usa-marketing-data-spend/
    Explore at:
    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    United States
    Description

    The U.S. marketing data market was valued at **** billion U.S. dollars in 2024, and it was expected to grow to **** billion in 2025. In the same period, spending on data services (identity resolution analytics, measurement, attribution, and data layer integration) is forecast to increase from *** to *** billion dollars.

  14. Forecast revenue big data market worldwide 2011-2027

    • statista.com
    Updated Feb 13, 2024
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    Statista (2024). Forecast revenue big data market worldwide 2011-2027 [Dataset]. https://www.statista.com/statistics/254266/global-big-data-market-forecast/
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    Dataset updated
    Feb 13, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    The global big data market is forecasted to grow to 103 billion U.S. dollars by 2027, more than double its expected market size in 2018. With a share of 45 percent, the software segment would become the large big data market segment by 2027.

    What is Big data?

    Big data is a term that refers to the kind of data sets that are too large or too complex for traditional data processing applications. It is defined as having one or some of the following characteristics: high volume, high velocity or high variety. Fast-growing mobile data traffic, cloud computing traffic, as well as the rapid development of technologies such as artificial intelligence (AI) and the Internet of Things (IoT) all contribute to the increasing volume and complexity of data sets.

    Big data analytics

    Advanced analytics tools, such as predictive analytics and data mining, help to extract value from the data and generate new business insights. The global big data and business analytics market was valued at 169 billion U.S. dollars in 2018 and is expected to grow to 274 billion U.S. dollars in 2022. As of November 2018, 45 percent of professionals in the market research industry reportedly used big data analytics as a research method.

  15. T

    United States Nfib Business Optimism Index

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Aug 12, 2025
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    TRADING ECONOMICS (2025). United States Nfib Business Optimism Index [Dataset]. https://tradingeconomics.com/united-states/nfib-business-optimism-index
    Explore at:
    xml, csv, json, excelAvailable download formats
    Dataset updated
    Aug 12, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 31, 1975 - Aug 31, 2025
    Area covered
    United States
    Description

    NFIB Business Optimism Index in the United States increased to 100.80 points in August from 100.30 points in July of 2025. This dataset provides - United States Nfib Business Optimism Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  16. N

    DCA Business Data

    • data.cityofnewyork.us
    application/rdfxml +5
    Updated Sep 26, 2025
    + more versions
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    Department of Consumer and Worker Protection (DCWP) (2025). DCA Business Data [Dataset]. https://data.cityofnewyork.us/Business/DCA-Business-Data/faur-gd6t
    Explore at:
    application/rssxml, csv, tsv, application/rdfxml, xml, jsonAvailable download formats
    Dataset updated
    Sep 26, 2025
    Authors
    Department of Consumer and Worker Protection (DCWP)
    Description

    This data set features businesses/individuals holding a DCA license so that they may legally operate in New York City. Note: Sightseeing guides and temporary street fair vendors are not included in this data set.

  17. p

    Museums Business Data for United States

    • poidata.io
    csv, json
    Updated Aug 24, 2025
    + more versions
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    Business Data Provider (2025). Museums Business Data for United States [Dataset]. https://www.poidata.io/report/museum/united-states
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Aug 24, 2025
    Dataset authored and provided by
    Business Data Provider
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    United States
    Variables measured
    Website URL, Phone Number, Review Count, Business Name, Email Address, Business Hours, Customer Rating, Business Address, Business Categories, Geographic Coordinates
    Description

    Comprehensive dataset containing 26,933 verified Museum businesses in United States with complete contact information, ratings, reviews, and location data.

  18. U

    United States US: Total Business Enterprise R&D Personnel: Per Thousand...

    • ceicdata.com
    Updated Mar 15, 2023
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    CEICdata.com (2023). United States US: Total Business Enterprise R&D Personnel: Per Thousand Employment In Industry [Dataset]. https://www.ceicdata.com/en/united-states/number-of-researchers-and-personnel-on-research-and-development-oecd-member-annual/us-total-business-enterprise-rd-personnel-per-thousand-employment-in-industry
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    Dataset updated
    Mar 15, 2023
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2011 - Dec 1, 2020
    Area covered
    United States
    Description

    United States US: Total Business Enterprise R&D Personnel: Per Thousand Employment In Industry data was reported at 17.169 Per 1000 in 2020. This records an increase from the previous number of 15.152 Per 1000 for 2019. United States US: Total Business Enterprise R&D Personnel: Per Thousand Employment In Industry data is updated yearly, averaging 13.282 Per 1000 from Dec 2011 (Median) to 2020, with 10 observations. The data reached an all-time high of 17.169 Per 1000 in 2020 and a record low of 12.478 Per 1000 in 2012. United States US: Total Business Enterprise R&D Personnel: Per Thousand Employment In Industry data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s United States – Table US.OECD.MSTI: Number of Researchers and Personnel on Research and Development: OECD Member: Annual.

    For the UnitedStates, in the business sector, the funds from the rest of the world previously included in the business-financed BERD, are available separately from 2008.
    From 2006 onwards, GOVERD includes state government intramural performance (most of which being financed by the federal government and state government own funds). From 2016 onwards, PNPERD data are based on a new R&D performer survey. In the higher education sector all fields of SSH are included from 2003 onwards.
    Following a survey of federally-funded research and development centers (FFRDCs) in 2005, it was concluded that FFRDC R&D belongs in the government sector - rather than the sector of the FFRDC administrator, as had been reported in the past. R&D expenditures by FFRDCs were reclassified from the other three R&D performing sectors to the Government sector; previously published data were revised accordingly.
    Between 2003 and 2004, the method used to classify data by industry has been revised. This particularly affects the ISIC category 'wholesale trade' and consequently the BERD for total services. U.S. R&D data are generally comparable, but there are some areas of underestimation:i) Up to 2008, Government sector R&D performance covers only federal government activities.
    That by State and local government establishments is excluded;
    ii) Except for the Government and the Business Enterprise sectors, the R&D data exclude most capital expenditures.
    For the Business Enterprise sector, depreciation is reported in place of gross capital expenditures up to 2014. Higher education (and national total) data were revised back to 1998 due to an improved methodology that corrects for double-counting of R&D funds passed between institutions.Breakdown by type of R&D (basic research, applied research, etc.) was also revised back to 1998 in the business enterprise and higher education sectors due to improved estimation procedures.The methodology for estimating researchers was changed as of 1985.
    In the Government, Higher Education and PNP sectors the data since then refer to employed doctoral scientists and engineers who report their primary work activity as research, development or the management of R&D, plus, for the Higher Education sector, the number of full-time equivalent graduate students with research assistantships averaging an estimated 50 % of their time engaged in R&D activities.
    As of 1985 researchers in the Government sector exclude military personnel. As of 1987, Higher education R&D personnel also include those who report their primary work activity as design.Due to lack of official data for the different employment sectors, the total researchers figure is an OECD estimate up to 2019. Comprehensive reporting of R&D personnel statistics by the United States has resumed with records available since 2020, reflecting the addition of official figures for the number of researchers and total R&D personnel for the higher education sector and the Private non-profit sector; as well as the number of researchers for the government sector.
    The new data revise downwards previous OECD estimates as the OECD extrapolation methods drawing on historical US data, required to produce a consistent OECD aggregate, appear to have previously overestimated the growth in the number of researchers in the higher education sector.Pre-production development is excluded from Defence GBARD (in accordance with the Frascati Manual) as of 2000.
    2009 GBARD data also includes the one time incremental R&D funding legislated in the American Recovery and Reinvestment Act of 2009. Beginning with the 2000 GBARD data, budgets for capital expenditure - 'R&D plant' in national terminology - are included. GBARD data for earlier years relate to budgets for current costs only.
    ;

    Definition of MSTI variables 'Value Added of Industry' and 'Industrial Employment':

    R&D data are typically expressed as a percentage of GDP to allow cross-country comparisons. When compiling such indicators for the business enterprise sector, one may wish to exclude, from GDP measures, economic activities for which the Business R&D (BERD) is null or negligible by definition. By doing so, the adjusted denominator (GDP, or Value Added, excluding non-relevant industries) better correspond to the numerator (BERD) with which it is compared to.

    The MSTI variable 'Value added in industry' is used to this end:

    It is calculated as the total Gross Value Added (GVA) excluding 'real estate activities' (ISIC rev.4 68) where the 'imputed rent of owner-occupied dwellings', specific to the framework of the System of National Accounts, represents a significant share of total GVA and has no R&D counterpart. Moreover, the R&D performed by the community, social and personal services is mainly driven by R&D performers other than businesses.

    Consequently, the following service industries are also excluded: ISIC rev.4 84 to 88 and 97 to 98. GVA data are presented at basic prices except for the People's Republic of China, Japan and New Zealand (expressed at producers' prices).In the same way, some indicators on R&D personnel in the business sector are expressed as a percentage of industrial employment. The latter corresponds to total employment excluding ISIC rev.4 68, 84 to 88 and 97 to 98.

  19. G

    USA Call Center Phone Database

    • b2cdatabases.co
    csv, excel
    Updated Sep 29, 2025
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    The citation is currently not available for this dataset.
    Explore at:
    csv, excelAvailable download formats
    Dataset updated
    Sep 29, 2025
    Dataset authored and provided by
    B2C Databases
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    United States
    Description

    " USA Call Center Phone Database is a structured collection of phone numbers and related contact details, including customer names, phone numbers, and other essential information. Call centers use this database for sales, customer support, surveys, or service follow-ups. Think of it as a centralized contact hub that helps agents quickly connect with the right people, saving time and improving communication. Our database is divided into multiple categories to make targeted marketing easier and more effective. All data is regularly updated and verified for accuracy, ensuring you receive reliable and up-to-date contacts when purchasing from B2C Databases.

    This database is useful for many types of businesses. Companies with call centers, USAese and international firms, e-commerce and retail businesses, financial services, banks, insurance companies, technology, and telecom businesses—all can benefit from accurate contacts for customer service, technical support, billing help, order updates, or marketing campaigns. Essentially, any business offering customer support in USA can use this data to connect efficiently with their target audience.

    USA Customer Support Number List

    Our USA Customer Support Number List provides highly accurate contact numbers, with a 95% verification rate. The list is regularly updated to remove duplicates and errors, making it highly reliable for marketing or support campaigns. It helps you reach the right B2B and B2C customers, improve online marketing performance, and generate better results. All data complies with GDPR and other legal standards, keeping customer information secure and ensuring your campaigns are legally compliant.

    USA Contact List

    The USA Contact List ensures higher response rates and better engagement for your marketing campaigns. It provides valid and verified contact information, helping businesses of all sizes connect directly with potential customers through calls or SMS. Using this database saves time, reduces costs, and improves campaign effectiveness. Organized and easy to use, this list supports your business goals by enhancing outreach, increasing engagement, and boosting overall marketing success. Purchase from B2C Databases to get secure, legal, and reliable contact data that drives growth and success.

    "

  20. p

    Peninsulas Business Data for United States

    • poidata.io
    csv, json
    Updated Sep 26, 2025
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    Business Data Provider (2025). Peninsulas Business Data for United States [Dataset]. https://www.poidata.io/report/peninsula/united-states
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    csv, jsonAvailable download formats
    Dataset updated
    Sep 26, 2025
    Dataset authored and provided by
    Business Data Provider
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    United States
    Variables measured
    Website URL, Phone Number, Review Count, Business Name, Email Address, Business Hours, Customer Rating, Business Address, Business Categories, Geographic Coordinates
    Description

    Comprehensive dataset containing 10,128 verified Peninsula businesses in United States with complete contact information, ratings, reviews, and location data.

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data.lacity.org (2025). Listing of Active Businesses [Dataset]. https://catalog.data.gov/dataset/listing-of-active-businesses

Listing of Active Businesses

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10 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Sep 20, 2025
Dataset provided by
data.lacity.org
Description

Listing of all active businesses currently registered with the Office of Finance. An "active" business is defined as a registered business whose owner has not notified the Office of Finance of a cease of business operations. Update Interval: Monthly. NAICS Codes are from 2007 NAICS: https://www.census.gov/cgi-bin/sssd/naics/naicsrch?chart=2007

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