100+ datasets found
  1. d

    Vision Consumer Demographic Data | B2C Audience Purchase Behavior | US...

    • datarade.ai
    .csv, .xls
    + more versions
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    Consumer Edge, Vision Consumer Demographic Data | B2C Audience Purchase Behavior | US Transaction Data | 100M+ Cards, 12K+ Merchants, Industry, Channel [Dataset]. https://datarade.ai/data-products/consumer-edge-vision-demographic-spending-data-b2c-audience-consumer-edge
    Explore at:
    .csv, .xlsAvailable download formats
    Dataset authored and provided by
    Consumer Edge
    Area covered
    United States of America
    Description

    Demographics Analysis with Consumer Edge Credit & Debit Card Transaction Data

    Consumer Edge is a leader in alternative consumer data for public and private investors and corporate clients. CE Transact Signal is an aggregated transaction feed that includes consumer transaction data on 100M+ credit and debit cards, including 14M+ active monthly users. Capturing online, offline, and 3rd-party consumer spending on public and private companies, data covers 12K+ merchants and deep demographic and geographic breakouts. Track detailed consumer behavior patterns, including retention, purchase frequency, and cross shop in addition to total spend, transactions, and dollars per transaction.

    Consumer Edge’s consumer transaction datasets offer insights into industries across consumer and discretionary spend such as: • Apparel, Accessories, & Footwear • Automotive • Beauty • Commercial – Hardlines • Convenience / Drug / Diet • Department Stores • Discount / Club • Education • Electronics / Software • Financial Services • Full-Service Restaurants • Grocery • Ground Transportation • Health Products & Services • Home & Garden • Insurance • Leisure & Recreation • Limited-Service Restaurants • Luxury • Miscellaneous Services • Online Retail – Broadlines • Other Specialty Retail • Pet Products & Services • Sporting Goods, Hobby, Toy & Game • Telecom & Media • Travel

    This data sample illustrates how Consumer Edge data can be used to compare demographics breakdown (age and income excluded in this free sample view) for one company vs. a competitor for a set period of time (Ex: How do demographics like wealth, ethnicity, children in the household, homeowner status, and political affiliation differ for Walmart vs. Target shopper?).

    Inquire about a CE subscription to perform more complex, near real-time demographics analysis functions on public tickers and private brands like: • Analyze a demographic, like age or income, within a state for a company in 2023 • Compare all of a company’s demographics to all of that company’s competitors through most recent history

    Consumer Edge offers a variety of datasets covering the US and Europe (UK, Austria, France, Germany, Italy, Spain), with subscription options serving a wide range of business needs.

    Use Case: Demographics Analysis

    Problem A global retailer wants to understand company performance by age group.

    Solution Consumer Edge transaction data can be used to analyze shopper transactions by age group to understand: • Overall sales growth by age group over time • Percentage sales growth by age group over time • Sales by age group vs. competitors

    Impact Marketing and Consumer Insights were able to: • Develop weekly reporting KPI's on key demographic drivers of growth for company-wide reporting • Reduce investment in underperforming age groups, both online and offline • Determine retention by age group to refine campaign strategy • Understand how different age groups are performing compared to key competitors

    Corporate researchers and consumer insights teams use CE Vision for:

    Corporate Strategy Use Cases • Ecommerce vs. brick & mortar trends • Real estate opportunities • Economic spending shifts

    Marketing & Consumer Insights • Total addressable market view • Competitive threats & opportunities • Cross-shopping trends for new partnerships • Demo and geo growth drivers • Customer loyalty & retention

    Investor Relations • Shareholder perspective on brand vs. competition • Real-time market intelligence • M&A opportunities

    Most popular use cases for private equity and venture capital firms include: • Deal Sourcing • Live Diligences • Portfolio Monitoring

    Public and private investors can leverage insights from CE’s synthetic data to assess investment opportunities, while consumer insights, marketing, and retailers can gain visibility into transaction data’s potential for competitive analysis, understanding shopper behavior, and capturing market intelligence.

    Most popular use cases among public and private investors include: • Track Key KPIs to Company-Reported Figures • Understanding TAM for Focus Industries • Competitive Analysis • Evaluating Public, Private, and Soon-to-be-Public Companies • Ability to Explore Geographic & Regional Differences • Cross-Shop & Loyalty • Drill Down to SKU Level & Full Purchase Details • Customer lifetime value • Earnings predictions • Uncovering macroeconomic trends • Analyzing market share • Performance benchmarking • Understanding share of wallet • Seeing subscription trends

    Fields Include: • Day • Merchant • Subindustry • Industry • Spend • Transactions • Spend per Transaction (derivable) • Cardholder State • Cardholder CBSA • Cardholder CSA • Age • Income • Wealth • Ethnicity • Political Affiliation • Children in Household • Adults in Household • Homeowner vs. Renter • Business Owner • Retention by First-Shopped Period ...

  2. d

    US Consumer Demographic Data - 269M+ Consumer Records - Programmatic Ads and...

    • datarade.ai
    Updated Jun 27, 2025
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    Giant Partners (2025). US Consumer Demographic Data - 269M+ Consumer Records - Programmatic Ads and Email Marketing Automation [Dataset]. https://datarade.ai/data-products/us-consumer-demographic-data-269m-consumer-records-progr-giant-partners
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    Dataset updated
    Jun 27, 2025
    Dataset authored and provided by
    Giant Partners
    Area covered
    United States of America
    Description

    Premium B2C Consumer Database - 269+ Million US Records

    Supercharge your B2C marketing campaigns with comprehensive consumer database, featuring over 269 million verified US consumer records. Our 20+ year data expertise delivers higher quality and more extensive coverage than competitors.

    Core Database Statistics

    Consumer Records: Over 269 million

    Email Addresses: Over 160 million (verified and deliverable)

    Phone Numbers: Over 76 million (mobile and landline)

    Mailing Addresses: Over 116,000,000 (NCOA processed)

    Geographic Coverage: Complete US (all 50 states)

    Compliance Status: CCPA compliant with consent management

    Targeting Categories Available

    Demographics: Age ranges, education levels, occupation types, household composition, marital status, presence of children, income brackets, and gender (where legally permitted)

    Geographic: Nationwide, state-level, MSA (Metropolitan Service Area), zip code radius, city, county, and SCF range targeting options

    Property & Dwelling: Home ownership status, estimated home value, years in residence, property type (single-family, condo, apartment), and dwelling characteristics

    Financial Indicators: Income levels, investment activity, mortgage information, credit indicators, and wealth markers for premium audience targeting

    Lifestyle & Interests: Purchase history, donation patterns, political preferences, health interests, recreational activities, and hobby-based targeting

    Behavioral Data: Shopping preferences, brand affinities, online activity patterns, and purchase timing behaviors

    Multi-Channel Campaign Applications

    Deploy across all major marketing channels:

    Email marketing and automation

    Social media advertising

    Search and display advertising (Google, YouTube)

    Direct mail and print campaigns

    Telemarketing and SMS campaigns

    Programmatic advertising platforms

    Data Quality & Sources

    Our consumer data aggregates from multiple verified sources:

    Public records and government databases

    Opt-in subscription services and registrations

    Purchase transaction data from retail partners

    Survey participation and research studies

    Online behavioral data (privacy compliant)

    Technical Delivery Options

    File Formats: CSV, Excel, JSON, XML formats available

    Delivery Methods: Secure FTP, API integration, direct download

    Processing: Real-time NCOA, email validation, phone verification

    Custom Selections: 1,000+ selectable demographic and behavioral attributes

    Minimum Orders: Flexible based on targeting complexity

    Unique Value Propositions

    Dual Spouse Targeting: Reach both household decision-makers for maximum impact

    Cross-Platform Integration: Seamless deployment to major ad platforms

    Real-Time Updates: Monthly data refreshes ensure maximum accuracy

    Advanced Segmentation: Combine multiple targeting criteria for precision campaigns

    Compliance Management: Built-in opt-out and suppression list management

    Ideal Customer Profiles

    E-commerce retailers seeking customer acquisition

    Financial services companies targeting specific demographics

    Healthcare organizations with compliant marketing needs

    Automotive dealers and service providers

    Home improvement and real estate professionals

    Insurance companies and agents

    Subscription services and SaaS providers

    Performance Optimization Features

    Lookalike Modeling: Create audiences similar to your best customers

    Predictive Scoring: Identify high-value prospects using AI algorithms

    Campaign Attribution: Track performance across multiple touchpoints

    A/B Testing Support: Split audiences for campaign optimization

    Suppression Management: Automatic opt-out and DNC compliance

    Pricing & Volume Options

    Flexible pricing structures accommodate businesses of all sizes:

    Pay-per-record for small campaigns

    Volume discounts for large deployments

    Subscription models for ongoing campaigns

    Custom enterprise pricing for high-volume users

    Data Compliance & Privacy

    VIA.tools maintains industry-leading compliance standards:

    CCPA (California Consumer Privacy Act) compliant

    CAN-SPAM Act adherence for email marketing

    TCPA compliance for phone and SMS campaigns

    Regular privacy audits and data governance reviews

    Transparent opt-out and data deletion processes

    Getting Started

    Our data specialists work with you to:

    1. Define your target audience criteria

    2. Recommend optimal data selections

    3. Provide sample data for testing

    4. Configure delivery methods and formats

    5. Implement ongoing campaign optimization

    Why We Lead the Industry

    With over two decades of data industry experience, we combine extensive database coverage with advanced targeting capabilities. Our commitment to data quality, compliance, and customer success has made us the preferred choice for businesses seeking superior B2C marketing performance.

    Contact our team to discuss your specific ta...

  3. 2018 Nonemployer Statistics by Demographics Series (NES-D): Company Summary

    • catalog.data.gov
    Updated Sep 30, 2025
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    U.S. Census Bureau (2025). 2018 Nonemployer Statistics by Demographics Series (NES-D): Company Summary [Dataset]. https://catalog.data.gov/dataset/economic-surveys-annual-business-survey-annual-business-survey-ce452
    Explore at:
    Dataset updated
    Sep 30, 2025
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Description

    The Nonemployer Statistics by Demographics (NES-D): Company Summary estimates provide economic data classified by sex, ethnicity, race, and veteran status of nonemployer firms. The NES-D is not a survey; rather, it leverages existing administrative records to assign demographic characteristics to the universe of nonemployer businesses. The nonemployer universe is comprised of businesses with no paid employment or payroll, annual receipts of $1,000 or more ($1 or more in the construction industries), and filing IRS tax forms for sole proprietorships (Form 1040, Schedule C), partnerships (Form 1065), or corporations (the Form 1120 series). Data for all firms are also presented. These estimates are produced by combining estimates for nonemployer firms from the Nonemployer Statistics by Demographics (NESD) and employer firms from the Annual Business Survey (ABS).

  4. 2021 Nonemployer Statistics by Demographics series (NES-D): Statistics for...

    • datalumos.org
    Updated Mar 18, 2025
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    United States Department of Commerce. Minority Business Development Agency (2025). 2021 Nonemployer Statistics by Demographics series (NES-D): Statistics for Employer and Nonemployer Firms by Industry, Sex, Ethnicity, Race, and Veteran Status for the U.S., States, Metro Areas, and Counties [Dataset]. http://doi.org/10.3886/E223442V1
    Explore at:
    Dataset updated
    Mar 18, 2025
    Dataset provided by
    United States Department of Commercehttp://commerce.gov/
    United States Census Bureauhttp://census.gov/
    License

    https://creativecommons.org/share-your-work/public-domain/pdmhttps://creativecommons.org/share-your-work/public-domain/pdm

    Time period covered
    2021
    Area covered
    United States, District of Columbia
    Description

    This data set provides statistics about employer and nonemployer businesses from 2021 for the nation, states, counties, and metropolitan statistical areas (MSA). It includes the number of firms, revenue, number of employees, and annual payroll, broken down by industry and owner demographics including as sex, ethnicity, race, and veteran status.About NES-DThe Nonemployer Statistics by Demographics series (NES-D) provides information on the demographic characteristics of nonemployer businesses. The NES-D is the result of a research project by the Census Bureau to complete the picture of U.S. business ownership by demographics for the United States. Historically, the quinquennial Survey of Business Owners (SBO) provided the only comprehensive source of information on both employer and nonemployer businesses by demographic characteristics of the business owners. In 2017, the SBO was replaced by the Annual Business Survey (ABS). The ABS is an annual survey that collects demographic characteristics from employer businesses. However, the ABS excludes the collection of demographic data from nonemployer businesses. The NES-D was developed to produce similar estimates as ABS on owner demographics for nonemployer businesses. The NES-D is not a survey; rather, it leverages existing individual-level administrative records to assign demographic characteristics to the universe of nonemployer businesses. Demographic characteristics including sex, ethnicity, race, veteran status, owner age, place of birth, and U.S. citizenship are assigned to nonemployer business owners.Together, the NES-D and the ABS will continue to provide the only source of detailed and comprehensive statistics on the scope, nature and activities of all U.S. businesses by the demographic characteristics of the business owners. NES-D data will be available annually by detailed geography and industry levels, receipt-size class, and legal form of organization (LFO). Beginning with the 2019 NES-D, the data will include urban and rural classification.

  5. e

    Business environment; corporate demographic dynamics in the Netherlands

    • data.europa.eu
    atom feed, json
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    Business environment; corporate demographic dynamics in the Netherlands [Dataset]. https://data.europa.eu/data/datasets/1765-ondernemingsklimaat-bedrijfsdemografische-dynamiek-in-nederland
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    atom feed, jsonAvailable download formats
    License

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

    Area covered
    Netherlands
    Description

    Establishment and dismantling of businesses and company demographics dynamics by industry. 1987-2004 Amended on 26 June 2009. Appearance Frequency: Stop it.

  6. Global Demographic data | Census Data for Marketing & Retail Analytics |...

    • datarade.ai
    .csv
    Updated Oct 17, 2024
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    GeoPostcodes (2024). Global Demographic data | Census Data for Marketing & Retail Analytics | Consumer Demographic Data [Dataset]. https://datarade.ai/data-products/geopostcodes-population-data-demographic-data-55-year-spa-geopostcodes
    Explore at:
    .csvAvailable download formats
    Dataset updated
    Oct 17, 2024
    Dataset authored and provided by
    GeoPostcodes
    Area covered
    Ecuador, Sint Maarten (Dutch part), South Georgia and the South Sandwich Islands, Luxembourg, Romania, Western Sahara, Tokelau, Kosovo, Saint Martin (French part), Rwanda
    Description

    A global database of Census Data that provides an understanding of population distribution at administrative and zip code levels over 55 years, past, present, and future.

    Leverage up-to-date census data with population trends for real estate, market research, audience targeting, and sales territory mapping.

    Self-hosted commercial demographic dataset curated based on trusted sources such as the United Nations or the European Commission, with a 99% match accuracy. The global Census Data is standardized, unified, and ready to use.

    Use cases for the Global Census Database (Consumer Demographic Data)

    • Ad targeting

    • B2B Market Intelligence

    • Customer analytics

    • Real Estate Data Estimations

    • Marketing campaign analysis

    • Demand forecasting

    • Sales territory mapping

    • Retail site selection

    • Reporting

    • Audience targeting

    Census data export methodology

    Our consumer demographic data packages are offered in CSV format. All Demographic data are optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more.

    Product Features

    • Historical population data (55 years)

    • Changes in population density

    • Urbanization Patterns

    • Accurate at zip code and administrative level

    • Optimized for easy integration

    • Easy customization

    • Global coverage

    • Updated yearly

    • Standardized and reliable

    • Self-hosted delivery

    • Fully aggregated (ready to use)

    • Rich attributes

    Why do companies choose our demographic databases

    • Standardized and unified demographic data structure

    • Seamless integration in your system

    • Dedicated location data expert

    Note: Custom population data packages are available. Please submit a request via the above contact button for more details.

  7. E

    Diversity in Tech Statistics 2024 – By Countries, Companies And Demographic...

    • enterpriseappstoday.com
    Updated Mar 1, 2024
    + more versions
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    EnterpriseAppsToday (2024). Diversity in Tech Statistics 2024 – By Countries, Companies And Demographic (Age, Gender, Race, Education) [Dataset]. https://www.enterpriseappstoday.com/stats/diversity-in-tech-statistics.html
    Explore at:
    Dataset updated
    Mar 1, 2024
    Dataset authored and provided by
    EnterpriseAppsToday
    License

    https://www.enterpriseappstoday.com/privacy-policyhttps://www.enterpriseappstoday.com/privacy-policy

    Time period covered
    2022 - 2032
    Area covered
    Global
    Description

    Diversity in Tech Statistics: In today's tech-driven world, discussions about diversity in the technology sector have gained significant traction. Recent statistics shed light on the disparities and opportunities within this industry. According to data from various sources, including reports from leading tech companies and diversity advocacy groups, the lack of diversity remains a prominent issue. For example, studies reveal that only 25% of computing jobs in the United States are held by women, while Black and Hispanic individuals make up just 9% of the tech workforce combined. Additionally, research indicates that LGBTQ+ individuals are underrepresented in tech, with only 2.3% of tech workers identifying as LGBTQ+. Despite these challenges, there are promising signs of progress. Companies are increasingly recognizing the importance of diversity and inclusion initiatives, with some allocating significant resources to address these issues. For instance, tech giants like Google and Microsoft have committed millions of USD to diversity programs aimed at recruiting and retaining underrepresented talent. As discussions surrounding diversity in tech continue to evolve, understanding the statistical landscape is crucial in fostering meaningful change and creating a more inclusive industry for all. Editor’s Choice In 2021, 7.9% of the US labor force was employed in technology. Women hold only 26.7% of tech employment, while men hold 73.3% of these positions. White Americans hold 62.5% of the positions in the US tech sector. Asian Americans account for 20% of jobs, Latinx Americans 8%, and Black Americans 7%. 83.3% of tech executives in the US are white. Black Americans comprised 14% of the population in 2019 but held only 7% of tech employment. For the same position, at the same business, and with the same experience, women in tech are typically paid 3% less than men. The high-tech sector employs more men (64% against 52%), Asian Americans (14% compared to 5.8%), and white people (68.5% versus 63.5%) compared to other industries. The tech industry is urged to prioritize inclusion when hiring, mentoring, and retaining employees to bridge the digital skills gap. Black professionals only account for 4% of all tech workers despite being 13% of the US workforce. Hispanic professionals hold just 8% of all STEM jobs despite being 17% of the national workforce. Only 22% of workers in tech are ethnic minorities. Gender diversity in tech is low, with just 26% of jobs in computer-related sectors occupied by women. Companies with diverse teams have higher profitability, with those in the top quartile for gender diversity being 25% more likely to have above-average profitability. Every month, the tech industry adds about 9,600 jobs to the U.S. economy. Between May 2009 and May 2015, over 800,000 net STEM jobs were added to the U.S. economy. STEM jobs are expected to grow by another 8.9% between 2015 and 2024. The percentage of black and Hispanic employees at major tech companies is very low, making up just one to three percent of the tech workforce. Tech hiring relies heavily on poaching and incentives, creating an unsustainable ecosystem ripe for disruption. Recruiters have a significant role in disrupting the hiring process to support diversity and inclusion. You May Also Like To Read Outsourcing Statistics Digital Transformation Statistics Internet of Things Statistics Computer Vision Statistics

  8. 2023 Economic Surveys: AB00MYNESD01C | Nonemployer Statistics by...

    • data.census.gov
    Updated May 18, 2025
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    ECN (2025). 2023 Economic Surveys: AB00MYNESD01C | Nonemployer Statistics by Demographics series (NES-D): Statistics for Employer and Nonemployer Firms by Industry and Race for the U.S., States, Metro Areas, Counties, and Places: 2023 (ECNSVY Nonemployer Statistics by Demographics Company Summary) [Dataset]. https://data.census.gov/table/ABSNESD2023.AB00MYNESD01C
    Explore at:
    Dataset updated
    May 18, 2025
    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
    2023
    Area covered
    United States
    Description

    Key Table Information.Table Title.Nonemployer Statistics by Demographics series (NES-D): Statistics for Employer and Nonemployer Firms by Industry and Race for the U.S., States, Metro Areas, Counties, and Places: 2023.Table ID.ABSNESD2023.AB00MYNESD01C.Survey/Program.Economic Surveys.Year.2023.Dataset.ECNSVY Nonemployer Statistics by Demographics Company Summary.Source.U.S. Census Bureau, 2023 Economic Surveys, Nonemployer Statistics by Demographics.Release Date.2025-11-20.Release Schedule.The Nonemployer Statistics by Demographics (NES-D) is released yearly, beginning in 2017..Sponsor.National Center for Science and Engineering Statistics, U.S. National Science Foundation.Table Universe.Data in this table combines estimates from the Annual Business Survey (employer firms) and the Nonemployer Statistics by Demographics (nonemployer firms).Includes U.S. firms with no paid employment or payroll, annual receipts of $1,000 or more ($1 or more in the construction industries) and filing Internal Revenue Service (IRS) tax forms for sole proprietorships (Form 1040, Schedule C), partnerships (Form 1065), or corporations (the Form 1120 series).Includes U.S. employer firms estimates of business ownership by sex, ethnicity, race, and veteran status from the 2024 Annual Business Survey (ABS) collection. The employer business 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.Data are also obtained from administrative records, the 2022 Economic Census, and other economic surveys. Note: For employer data only, the collection year is the year in which the data are collected. A reference year is the year that is referenced in the questions on the survey and in which the statistics are tabulated. For example, the 2024 ABS collection year produces statistics for the 2023 reference year. The "Year" column in the table is the reference year..Methodology.Data Items and Other Identifying Records.Total number of employer and nonemployer firmsTotal sales, value of shipments, or revenue of employer and nonemployer firms ($1,000)Number of nonemployer firmsSales, value of shipments, or revenue of nonemployer firms ($1,000)Number of employer firmsSales, value of shipments, or revenue of employer firms ($1,000)Number of employeesAnnual payroll ($1,000)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 Native Hawaiian and 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 NES-D and the ABS are 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 2023 data are shown for the total of all sectors (00) and the 2- to 6-digit NAICS code levels for:United StatesStates and the District of ColumbiaIn addition, the total of all sectors (00) NAICS and the 2-digit NAICS code levels for:Metropolitan Statistical AreasMicropolitan Statistical AreasMetropolitan DivisionsCombined Statistical AreasCountiesEconomic PlacesFor information about geographies, see Geographies..Industry Coverage.The data are shown for the total of all sectors ("00"), and at the 2- through 6-digit NAICS code levels depending on geography. 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..Sa...

  9. 2023 Economic Surveys: AB00MYNESD01D | Nonemployer Statistics by...

    • data.census.gov
    Updated Nov 20, 2025
    + more versions
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    ECN (2025). 2023 Economic Surveys: AB00MYNESD01D | Nonemployer Statistics by Demographics series (NES-D): Statistics for Employer and Nonemployer Firms by Industry and Veteran Status for the U.S., States, Metro Areas, Counties, and Places: 2023 (ECNSVY Nonemployer Statistics by Demographics Company Summary) [Dataset]. https://data.census.gov/table/ABSNESD2023.AB00MYNESD01D?q=D+F+Springs
    Explore at:
    Dataset updated
    Nov 20, 2025
    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
    2023
    Area covered
    United States
    Description

    Key Table Information.Table Title.Nonemployer Statistics by Demographics series (NES-D): Statistics for Employer and Nonemployer Firms by Industry and Veteran Status for the U.S., States, Metro Areas, Counties, and Places: 2023.Table ID.ABSNESD2023.AB00MYNESD01D.Survey/Program.Economic Surveys.Year.2023.Dataset.ECNSVY Nonemployer Statistics by Demographics Company Summary.Source.U.S. Census Bureau, 2023 Economic Surveys, Nonemployer Statistics by Demographics.Release Date.2025-11-20.Release Schedule.The Nonemployer Statistics by Demographics (NES-D) is released yearly, beginning in 2017..Sponsor.National Center for Science and Engineering Statistics, U.S. National Science Foundation.Table Universe.Data in this table combines estimates from the Annual Business Survey (employer firms) and the Nonemployer Statistics by Demographics (nonemployer firms).Includes U.S. firms with no paid employment or payroll, annual receipts of $1,000 or more ($1 or more in the construction industries) and filing Internal Revenue Service (IRS) tax forms for sole proprietorships (Form 1040, Schedule C), partnerships (Form 1065), or corporations (the Form 1120 series).Includes U.S. employer firms estimates of business ownership by sex, ethnicity, race, and veteran status from the 2024 Annual Business Survey (ABS) collection. The employer business 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.Data are also obtained from administrative records, the 2022 Economic Census, and other economic surveys. Note: For employer data only, the collection year is the year in which the data are collected. A reference year is the year that is referenced in the questions on the survey and in which the statistics are tabulated. For example, the 2024 ABS collection year produces statistics for the 2023 reference year. The "Year" column in the table is the reference year..Methodology.Data Items and Other Identifying Records.Total number of employer and nonemployer firmsTotal sales, value of shipments, or revenue of employer and nonemployer firms ($1,000)Number of nonemployer firmsSales, value of shipments, or revenue of nonemployer firms ($1,000)Number of employer firmsSales, value of shipments, or revenue of employer firms ($1,000)Number of employeesAnnual payroll ($1,000)These data are aggregated by the following demographic classifications of firm for:All firms Classifiable (firms classifiable by sex, ethnicity, race, and veteran status) Veteran Status (defined as having served in any branch of the U.S. Armed Forces) Veteran Equally veteran/nonveteran Nonveteran 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 NES-D and the ABS are 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 2023 data are shown for the total of all sectors (00) and the 2- to 6-digit NAICS code levels for:United StatesStates and the District of ColumbiaIn addition, the total of all sectors (00) NAICS and the 2-digit NAICS code levels for:Metropolitan Statistical AreasMicropolitan Statistical AreasMetropolitan DivisionsCombined Statistical AreasCountiesEconomic PlacesFor information about geographies, see Geographies..Industry Coverage.The data are shown for the total of all sectors ("00"), and at the 2- through 6-digit NAICS code levels depending on geography. 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.NES-D nonemployer data are not conducted through sampling. Nonemployer Statistics (NES) data originate from statistical information obtained through business inco...

  10. 2023 Economic Surveys: AB00MYNESD01B | Nonemployer Statistics by...

    • data.census.gov
    Updated Nov 20, 2025
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    ECN (2025). 2023 Economic Surveys: AB00MYNESD01B | Nonemployer Statistics by Demographics series (NES-D): Statistics for Employer and Nonemployer Firms by Industry and Ethnicity for the U.S., States, Metro Areas, Counties, and Places: 2023 (ECNSVY Nonemployer Statistics by Demographics Company Summary) [Dataset]. https://data.census.gov/table/ABSNESD2023.AB00MYNESD01B?q=John+D+Lewis
    Explore at:
    Dataset updated
    Nov 20, 2025
    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
    2023
    Area covered
    United States
    Description

    Key Table Information.Table Title.Nonemployer Statistics by Demographics series (NES-D): Statistics for Employer and Nonemployer Firms by Industry and Ethnicity for the U.S., States, Metro Areas, Counties, and Places: 2023.Table ID.ABSNESD2023.AB00MYNESD01B.Survey/Program.Economic Surveys.Year.2023.Dataset.ECNSVY Nonemployer Statistics by Demographics Company Summary.Source.U.S. Census Bureau, 2023 Economic Surveys, Nonemployer Statistics by Demographics.Release Date.2025-11-20.Release Schedule.The Nonemployer Statistics by Demographics (NES-D) is released yearly, beginning in 2017..Sponsor.National Center for Science and Engineering Statistics, U.S. National Science Foundation.Table Universe.Data in this table combines estimates from the Annual Business Survey (employer firms) and the Nonemployer Statistics by Demographics (nonemployer firms).Includes U.S. firms with no paid employment or payroll, annual receipts of $1,000 or more ($1 or more in the construction industries) and filing Internal Revenue Service (IRS) tax forms for sole proprietorships (Form 1040, Schedule C), partnerships (Form 1065), or corporations (the Form 1120 series).Includes U.S. employer firms estimates of business ownership by sex, ethnicity, race, and veteran status from the 2024 Annual Business Survey (ABS) collection. The employer business 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.Data are also obtained from administrative records, the 2022 Economic Census, and other economic surveys. Note: For employer data only, the collection year is the year in which the data are collected. A reference year is the year that is referenced in the questions on the survey and in which the statistics are tabulated. For example, the 2024 ABS collection year produces statistics for the 2023 reference year. The "Year" column in the table is the reference year..Methodology.Data Items and Other Identifying Records.Total number of employer and nonemployer firmsTotal sales, value of shipments, or revenue of employer and nonemployer firms ($1,000)Number of nonemployer firmsSales, value of shipments, or revenue of nonemployer firms ($1,000)Number of employer firmsSales, value of shipments, or revenue of employer firms ($1,000)Number of employeesAnnual payroll ($1,000)These data are aggregated by the following demographic classifications of firm for:All firms Classifiable (firms classifiable by sex, ethnicity, race, and veteran status) Ethnicity Hispanic Equally Hispanic/non-Hispanic Non-Hispanic 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 NES-D and the ABS are 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 2023 data are shown for the total of all sectors (00) and the 2- to 6-digit NAICS code levels for:United StatesStates and the District of ColumbiaIn addition, the total of all sectors (00) NAICS and the 2-digit NAICS code levels for:Metropolitan Statistical AreasMicropolitan Statistical AreasMetropolitan DivisionsCombined Statistical AreasCountiesEconomic PlacesFor information about geographies, see Geographies..Industry Coverage.The data are shown for the total of all sectors ("00"), and at the 2- through 6-digit NAICS code levels depending on geography. 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.NES-D nonemployer data are not conducted through sampling. Nonemployer Statistics (NES) data originate from statistical information obtained through business income tax records that the Internal Revenue Service (IRS) provides to the...

  11. n

    Demographic data collection in STEM organizations

    • data.niaid.nih.gov
    • digitalcommons.chapman.edu
    • +1more
    zip
    Updated Mar 9, 2022
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    Nicholas Burnett; Alyssa Hernandez; Emily King; Richelle Tanner; Kathryn Wilsterman (2022). Demographic data collection in STEM organizations [Dataset]. http://doi.org/10.25338/B8N63K
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    zipAvailable download formats
    Dataset updated
    Mar 9, 2022
    Dataset provided by
    Harvard University
    University of Montana
    University of California, Berkeley
    University of California, Davis
    Chapman University
    Authors
    Nicholas Burnett; Alyssa Hernandez; Emily King; Richelle Tanner; Kathryn Wilsterman
    License

    https://spdx.org/licenses/CC0-1.0.htmlhttps://spdx.org/licenses/CC0-1.0.html

    Description

    Professional organizations in STEM (science, technology, engineering, and mathematics) can use demographic data to quantify recruitment and retention (R&R) of underrepresented groups within their memberships. However, variation in the types of demographic data collected can influence the targeting and perceived impacts of R&R efforts - e.g., giving false signals of R&R for some groups. We obtained demographic surveys from 73 U.S.-affiliated STEM organizations, collectively representing 712,000 members and conference-attendees. We found large differences in the demographic categories surveyed (e.g., disability status, sexual orientation) and the available response options. These discrepancies indicate a lack of consensus regarding the demographic groups that should be recognized and, for groups that are omitted from surveys, an inability of organizations to prioritize and evaluate R&R initiatives. Aligning inclusive demographic surveys across organizations will provide baseline data that can be used to target and evaluate R&R initiatives to better serve underrepresented groups throughout STEM. Methods We surveyed 164 STEM organizations (73 responses, rate = 44.5%) between December 2020 and July 2021 with the goal of understanding what demographic data each organization collects from its constituents (i.e., members and conference-attendees) and how the data are used. Organizations were sourced from a list of professional societies affiliated with the American Association for the Advancement of Science, AAAS, (n = 156) or from social media (n = 8). The survey was sent to the elected leadership and management firms for each organization, and follow-up reminders were sent after one month. The responding organizations represented a wide range of fields: 31 life science organizations (157,000 constituents), 5 mathematics organizations (93,000 constituents), 16 physical science organizations (207,000 constituents), 7 technology organizations (124,000 constituents), and 14 multi-disciplinary organizations spanning multiple branches of STEM (131,000 constituents). A list of the responding organizations is available in the Supplementary Materials. Based on the AAAS-affiliated recruitment of the organizations and the similar distribution of constituencies across STEM fields, we conclude that the responding organizations are a representative cross-section of the most prominent STEM organizations in the U.S. Each organization was asked about the demographic information they collect from their constituents, the response rates to their surveys, and how the data were used. Survey description The following questions are written as presented to the participating organizations. Question 1: What is the name of your STEM organization? Question 2: Does your organization collect demographic data from your membership and/or meeting attendees? Question 3: When was your organization’s most recent demographic survey (approximate year)? Question 4: We would like to know the categories of demographic information collected by your organization. You may answer this question by either uploading a blank copy of your organization’s survey (linked provided in online version of this survey) OR by completing a short series of questions. Question 5: On the most recent demographic survey or questionnaire, what categories of information were collected? (Please select all that apply)

    Disability status Gender identity (e.g., male, female, non-binary) Marital/Family status Racial and ethnic group Religion Sex Sexual orientation Veteran status Other (please provide)

    Question 6: For each of the categories selected in Question 5, what options were provided for survey participants to select? Question 7: Did the most recent demographic survey provide a statement about data privacy and confidentiality? If yes, please provide the statement. Question 8: Did the most recent demographic survey provide a statement about intended data use? If yes, please provide the statement. Question 9: Who maintains the demographic data collected by your organization? (e.g., contracted third party, organization executives) Question 10: How has your organization used members’ demographic data in the last five years? Examples: monitoring temporal changes in demographic diversity, publishing diversity data products, planning conferences, contributing to third-party researchers. Question 11: What is the size of your organization (number of members or number of attendees at recent meetings)? Question 12: What was the response rate (%) for your organization’s most recent demographic survey? *Organizations were also able to upload a copy of their demographics survey instead of responding to Questions 5-8. If so, the uploaded survey was used (by the study authors) to evaluate Questions 5-8.

  12. 2020 Nonemployer Statistics by Demographics series (NES-D): Statistics for...

    • datalumos.org
    Updated Mar 18, 2025
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    United States Department of Commerce. Minority Business Development Agency (2025). 2020 Nonemployer Statistics by Demographics series (NES-D): Statistics for Employer and Nonemployer Firms by Industry, Sex, Ethnicity, Race, and Veteran Status for the U.S., States, Metro Areas, and Counties [Dataset]. http://doi.org/10.3886/E223441V1
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    Dataset updated
    Mar 18, 2025
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    United States Department of Commercehttp://commerce.gov/
    License

    https://creativecommons.org/share-your-work/public-domain/pdmhttps://creativecommons.org/share-your-work/public-domain/pdm

    Time period covered
    2020
    Area covered
    District of Columbia, United States
    Description

    This data set provides statistics about employer and nonemployer businesses from 2020 for the nation, states, and metropolitan statistical areas (MSA). It includes the number of firms, revenue, number of employees, and annual payroll, broken down by industry and owner demographics including as sex, ethnicity, race, and veteran status.About NES-DThe Nonemployer Statistics by Demographics series (NES-D) provides information on the demographic characteristics of nonemployer businesses. The NES-D is the result of a research project by the Census Bureau to complete the picture of U.S. business ownership by demographics for the United States. Historically, the quinquennial Survey of Business Owners (SBO) provided the only comprehensive source of information on both employer and nonemployer businesses by demographic characteristics of the business owners. In 2017, the SBO was replaced by the Annual Business Survey (ABS). The ABS is an annual survey that collects demographic characteristics from employer businesses. However, the ABS excludes the collection of demographic data from nonemployer businesses. The NES-D was developed to produce similar estimates as ABS on owner demographics for nonemployer businesses. The NES-D is not a survey; rather, it leverages existing individual-level administrative records to assign demographic characteristics to the universe of nonemployer businesses. Demographic characteristics including sex, ethnicity, race, veteran status, owner age, place of birth, and U.S. citizenship are assigned to nonemployer business owners.Together, the NES-D and the ABS will continue to provide the only source of detailed and comprehensive statistics on the scope, nature and activities of all U.S. businesses by the demographic characteristics of the business owners. NES-D data will be available annually by detailed geography and industry levels, receipt-size class, and legal form of organization (LFO). Beginning with the 2019 NES-D, the data will include urban and rural classification.

  13. The Hicks Companies, Denver, NC, US Demographics 2025

    • point2homes.com
    html
    Updated 2025
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    Point2Homes (2025). The Hicks Companies, Denver, NC, US Demographics 2025 [Dataset]. https://www.point2homes.com/US/Neighborhood/NC/The-Hicks-Companies-Demographics.html
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    htmlAvailable download formats
    Dataset updated
    2025
    Dataset authored and provided by
    Point2Homeshttps://plus.google.com/116333963642442482447/posts
    Time period covered
    2025
    Area covered
    Denver, North Carolina
    Variables measured
    Asian, Other, White, 2 units, Over 65, Median age, Blue collar, Mobile home, 3 or 4 units, 5 to 9 units, and 69 more
    Description

    Comprehensive demographic dataset for The Hicks Companies, Denver, NC, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

  14. g

    Demographics of companies and persons employed in the Basque Country by...

    • gimi9.com
    Updated Apr 4, 2019
    + more versions
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    (2019). Demographics of companies and persons employed in the Basque Country by activity section (A21). | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_dda943c2f21354b104aaeb2c6814723410aad378/
    Explore at:
    Dataset updated
    Apr 4, 2019
    License

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

    Area covered
    Basque Country
    Description

    The objective of the Statistics on the creation and death of enterprises is to quantify the number of enterprises and establishments that are created and destroyed over time, according to the different economic sectors, territorial areas and other characteristics of these units, such as legal personality or their size. This demographic information is obtained directly from the Directory of Economic Activities, allowing to obtain survival rates and mortality over time.

  15. Fortune 500 Diversity

    • kaggle.com
    zip
    Updated Jun 26, 2017
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    Fortune (2017). Fortune 500 Diversity [Dataset]. https://www.kaggle.com/fortune-inc/f500-diversity
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    zip(29915 bytes)Available download formats
    Dataset updated
    Jun 26, 2017
    Dataset authored and provided by
    Fortune
    Description

    Context

    Workforce diversity is an increasingly salient issue, but it can be difficult to easily check how a specific company is performing. This dataset was created by Fortune to show what was discoverable by someone considering employment with one of the Fortune 500 firms and curious about their commitment to diversity and inclusion could find.

    Content

    This dataset contains the name of each firm, its rank in the 2017 Fortune 500, a link to its diversity and inclusion page or equal opportunity statement, and whether the company releases full, partial, or no data about the gender, race, and ethnicity of its employees. Additional detail is included where it was available. As there are over 200 fields in this dataset; please consult the data dictionary for details about specific features.

    Acknowledgements

    This dataset was assembled by Fortune.com data reporter Grace Donnelly. The details of her data preparation process can be found here.

    Inspiration

    Are the companies that release the most information more or less diverse than their peers? Are there any particular industries that stand out?

  16. f

    Company XYZ | Athletics Data | Sports Data

    • datastore.forage.ai
    Updated Oct 7, 2024
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    (2024). Company XYZ | Athletics Data | Sports Data [Dataset]. https://datastore.forage.ai/searchresults/?resource_keyword=Demographic%20and%20Market%20Data
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    Dataset updated
    Oct 7, 2024
    Description

    Company XYZ, a leading provider of market research, aggregates and publishes data on consumer trends, behavior, and preferences. The company's expertise lies in identifying and analyzing patterns that shape the marketplace, allowing businesses to make informed decisions. With a diverse range of datasets, Company XYZ offers insights into demographic profiles, purchase habits, and brand loyalty.

    By tapping into Company XYZ's repository of market intelligence, businesses can gain valuable insights into their target audience and stay ahead of the competition. With a strong reputation for accuracy and reliability, the company's data is trusted by industry leaders and market analysts worldwide. Whether seeking to understand consumer sentiment, track competition, or identify emerging trends, Company XYZ's data is a valuable resource for any business looking to stay informed and adapt to a rapidly changing market.

  17. United States: Demographics Mentions in Company Filings of Retail &...

    • globaldata.com
    Updated Jun 7, 2022
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    GlobalData Plc (2022). United States: Demographics Mentions in Company Filings of Retail & Wholesale Sector Companies (2017 - 2021) [Dataset]. https://www.globaldata.com/data-insights/retail---wholesale/united-states--demographics-mentions-in-company-filings-of-retail---wholesale-sector-companies-2085280/
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    Dataset updated
    Jun 7, 2022
    Dataset provided by
    GlobalDatahttps://www.globaldata.com/
    Authors
    GlobalData Plc
    License

    https://www.globaldata.com/privacy-policy/https://www.globaldata.com/privacy-policy/

    Area covered
    United States
    Description

    United States: Demographics Mentions in Company Filings of Retail & Wholesale Sector Companies (2017 - 2021)

  18. e

    Demographics of companies and people employed in the Basque Country by sex...

    • data.europa.eu
    unknown
    + more versions
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    Comunidad Autónoma del País Vasco, Demographics of companies and people employed in the Basque Country by sex according to activity section (A21). [Dataset]. https://data.europa.eu/88u/dataset/https-opendata-euskadi-eus-catalogo-demografia-empresas-y-personas-empleadas-c-euskadi-sexo-seccion-actividad-a21-
    Explore at:
    unknown(3072), unknown(68608)Available download formats
    Dataset authored and provided by
    Comunidad Autónoma del País Vasco
    License

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

    Description

    The objective of the Statistics on the creation and death of enterprises is to quantify the number of enterprises and establishments that are created and destroyed over time, according to the different economic sectors, territorial areas and other characteristics of these units, such as legal personality or their size. This demographic information is obtained directly from the Directory of Economic Activities, allowing to obtain survival rates and mortality over time.

  19. Business demography, European standard; size class,SIC2008

    • cbs.nl
    • data.overheid.nl
    • +1more
    xml
    Updated Sep 19, 2025
    + more versions
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    Centraal Bureau voor de Statistiek (2025). Business demography, European standard; size class,SIC2008 [Dataset]. https://www.cbs.nl/en-gb/figures/detail/85200ENG
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    xmlAvailable download formats
    Dataset updated
    Sep 19, 2025
    Dataset provided by
    Statistics Netherlands
    Authors
    Centraal Bureau voor de Statistiek
    License

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

    Time period covered
    2010 - 2023
    Area covered
    The Netherlands
    Description

    This table includes information on business demography according to the European standard. Figures in this table are also submitted in this form to Eurostat. Information concerns the population of active enterprises, enterprise births and deaths, broken down by legal form and by the National Classification of Economic Activity 2008 (NCEA 2008, based on NACE Rev 2.0). Data also includes persons employed and employees in these enterprises.

    Data available from: 2010

    Status of the figures:

    The figures in this table are final for 2010 through 2022. The figures for 2023 are provisional. Only the data on Dissolved companies for 2023 will be adjusted.

    Changes as of September 4, 2025: The provisional figures for 2023 have been added, and the figures for 2022 have been adjusted and finalized.

    When will new figures be released? Figures on a new reporting year (T – 2) will be published in July of the current year T.

  20. d

    Unacast Demographic Data for US POIs

    • datarade.ai
    .csv
    Updated Apr 9, 2024
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    Unacast (2024). Unacast Demographic Data for US POIs [Dataset]. https://datarade.ai/data-products/unacast-demographic-data-for-u-s-mobile-devices-5-years-his-gravy-analytics
    Explore at:
    .csvAvailable download formats
    Dataset updated
    Apr 9, 2024
    Dataset authored and provided by
    Unacast
    Area covered
    United States
    Description

    Unacast offers demographic data for millions of commercial points of interest (POIs) and custom locations within the United States. This data enables users to analyze the demographic profiles of visitors to any location.

    Companies use Unacast Demographic Data for: - Market analysis - Advertising and marketing - Competitor analysis - Business intelligence - Benchmarking - Operational and staffing strategies

    Unacast Demographic Data is derived from GPS location data processed through our proprietary machine-learning model. Unlike typical location data products that rely solely on aggregating the underlying GPS device-level supply, our demographic data is more robust and less dependent on GPS supply fluctuations because it is powered by a machine learning model based on 120+ data sources.

    Demographic data provides insights into location visitors, human movement, and where visitors travel from. These aggregated, machine-learning powered datasets were built with a privacy-first mindset to give you peace of mind as you solve your biggest business problems.

    The data is also live in Unacast's Insight's Platform, which offers foot traffic and demographic analytics for POIs within the US.

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Consumer Edge, Vision Consumer Demographic Data | B2C Audience Purchase Behavior | US Transaction Data | 100M+ Cards, 12K+ Merchants, Industry, Channel [Dataset]. https://datarade.ai/data-products/consumer-edge-vision-demographic-spending-data-b2c-audience-consumer-edge

Vision Consumer Demographic Data | B2C Audience Purchase Behavior | US Transaction Data | 100M+ Cards, 12K+ Merchants, Industry, Channel

Explore at:
.csv, .xlsAvailable download formats
Dataset authored and provided by
Consumer Edge
Area covered
United States of America
Description

Demographics Analysis with Consumer Edge Credit & Debit Card Transaction Data

Consumer Edge is a leader in alternative consumer data for public and private investors and corporate clients. CE Transact Signal is an aggregated transaction feed that includes consumer transaction data on 100M+ credit and debit cards, including 14M+ active monthly users. Capturing online, offline, and 3rd-party consumer spending on public and private companies, data covers 12K+ merchants and deep demographic and geographic breakouts. Track detailed consumer behavior patterns, including retention, purchase frequency, and cross shop in addition to total spend, transactions, and dollars per transaction.

Consumer Edge’s consumer transaction datasets offer insights into industries across consumer and discretionary spend such as: • Apparel, Accessories, & Footwear • Automotive • Beauty • Commercial – Hardlines • Convenience / Drug / Diet • Department Stores • Discount / Club • Education • Electronics / Software • Financial Services • Full-Service Restaurants • Grocery • Ground Transportation • Health Products & Services • Home & Garden • Insurance • Leisure & Recreation • Limited-Service Restaurants • Luxury • Miscellaneous Services • Online Retail – Broadlines • Other Specialty Retail • Pet Products & Services • Sporting Goods, Hobby, Toy & Game • Telecom & Media • Travel

This data sample illustrates how Consumer Edge data can be used to compare demographics breakdown (age and income excluded in this free sample view) for one company vs. a competitor for a set period of time (Ex: How do demographics like wealth, ethnicity, children in the household, homeowner status, and political affiliation differ for Walmart vs. Target shopper?).

Inquire about a CE subscription to perform more complex, near real-time demographics analysis functions on public tickers and private brands like: • Analyze a demographic, like age or income, within a state for a company in 2023 • Compare all of a company’s demographics to all of that company’s competitors through most recent history

Consumer Edge offers a variety of datasets covering the US and Europe (UK, Austria, France, Germany, Italy, Spain), with subscription options serving a wide range of business needs.

Use Case: Demographics Analysis

Problem A global retailer wants to understand company performance by age group.

Solution Consumer Edge transaction data can be used to analyze shopper transactions by age group to understand: • Overall sales growth by age group over time • Percentage sales growth by age group over time • Sales by age group vs. competitors

Impact Marketing and Consumer Insights were able to: • Develop weekly reporting KPI's on key demographic drivers of growth for company-wide reporting • Reduce investment in underperforming age groups, both online and offline • Determine retention by age group to refine campaign strategy • Understand how different age groups are performing compared to key competitors

Corporate researchers and consumer insights teams use CE Vision for:

Corporate Strategy Use Cases • Ecommerce vs. brick & mortar trends • Real estate opportunities • Economic spending shifts

Marketing & Consumer Insights • Total addressable market view • Competitive threats & opportunities • Cross-shopping trends for new partnerships • Demo and geo growth drivers • Customer loyalty & retention

Investor Relations • Shareholder perspective on brand vs. competition • Real-time market intelligence • M&A opportunities

Most popular use cases for private equity and venture capital firms include: • Deal Sourcing • Live Diligences • Portfolio Monitoring

Public and private investors can leverage insights from CE’s synthetic data to assess investment opportunities, while consumer insights, marketing, and retailers can gain visibility into transaction data’s potential for competitive analysis, understanding shopper behavior, and capturing market intelligence.

Most popular use cases among public and private investors include: • Track Key KPIs to Company-Reported Figures • Understanding TAM for Focus Industries • Competitive Analysis • Evaluating Public, Private, and Soon-to-be-Public Companies • Ability to Explore Geographic & Regional Differences • Cross-Shop & Loyalty • Drill Down to SKU Level & Full Purchase Details • Customer lifetime value • Earnings predictions • Uncovering macroeconomic trends • Analyzing market share • Performance benchmarking • Understanding share of wallet • Seeing subscription trends

Fields Include: • Day • Merchant • Subindustry • Industry • Spend • Transactions • Spend per Transaction (derivable) • Cardholder State • Cardholder CBSA • Cardholder CSA • Age • Income • Wealth • Ethnicity • Political Affiliation • Children in Household • Adults in Household • Homeowner vs. Renter • Business Owner • Retention by First-Shopped Period ...

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