Envestnet®| Yodlee®'s Consumer Behavior Data (Aggregate/Row) Panels consist of de-identified, near-real time (T+1) USA credit/debit/ACH transaction level data – offering a wide view of the consumer activity ecosystem. The underlying data is sourced from end users leveraging the aggregation portion of the Envestnet®| Yodlee®'s financial technology platform.

Envestnet | Yodlee Consumer Panels (Aggregate/Row) include data relating to millions of transactions, including ticket size and merchant location. The dataset includes de-identified credit/debit card and bank transactions (such as a payroll deposit, account transfer, or mortgage payment). Our coverage offers insights into areas such as consumer, TMT, energy, REITs, internet, utilities, ecommerce, MBS, CMBS, equities, credit, commodities, FX, and corporate activity. We apply rigorous data science practices to deliver key KPIs daily that are focused, relevant, and ready to put into production.

We offer free trials. Our team is available to provide support for loading, validation, sample scripts, or other services you may need to generate insights from our data.

Investors, corporate researchers, and corporates can use our data to answer some key business questions such as: - How much are consumers spending with specific merchants/brands and how is that changing over time? - Is the share of consumer spend at a specific merchant increasing or decreasing? - How are consumers reacting to new products or services launched by merchants? - For loyal customers, how is the share of spend changing over time? - What is the company’s market share in a region for similar customers? - Is the company’s loyal user base increasing or decreasing? - Is the lifetime customer value increasing or decreasing?

Additional Use Cases: - Use spending data to analyze sales/revenue broadly (sector-wide) or granular (company-specific). Historically, our tracked consumer spend has correlated above 85% with company-reported data from thousands of firms. Users can sort and filter by many metrics and KPIs, such as sales and transaction growth rates and online or offline transactions, as well as view customer behavior within a geographic market at a state or city level. - Reveal cohort consumer behavior to decipher long-term behavioral consumer spending shifts. Measure market share, wallet share, loyalty, consumer lifetime value, retention, demographics, and more.) - Study the effects of inflation rates via such metrics as increased total spend, ticket size, and number of transactions. - Seek out alpha-generating signals or manage your business strategically with essential, aggregated transaction and spending data analytics.

Use Cases Categories (Our data provides an innumerable amount of use cases, and we look forward to working with new ones): 1. Market Research: Company Analysis, Company Valuation, Competitive Intelligence, Competitor Analysis, Competitor Analytics, Competitor Insights, Customer Data Enrichment, Customer Data Insights, Customer Data Intelligence, Demand Forecasting, Ecommerce Intelligence, Employee Pay Strategy, Employment Analytics, Job Income Analysis, Job Market Pricing, Marketing, Marketing Data Enrichment, Marketing Intelligence, Marketing Strategy, Payment History Analytics, Price Analysis, Pricing Analytics, Retail, Retail Analytics, Retail Intelligence, Retail POS Data Analysis, and Salary Benchmarking

1. Investment Research: Financial Services, Hedge Funds, Investing, Mergers & Acquisitions (M&A), Stock Picking, Venture Capital (VC)

2. Consumer Analysis: Consumer Data Enrichment, Consumer Intelligence

3. Market Data: AnalyticsB2C Data Enrichment, Bank Data Enrichment, Behavioral Analytics, Benchmarking, Customer Insights, Customer Intelligence, Data Enhancement, Data Enrichment, Data Intelligence, Data Modeling, Ecommerce Analysis, Ecommerce Data Enrichment, Economic Analysis, Financial Data Enrichment, Financial Intelligence, Local Economic Forecasting, Location-based Analytics, Market Analysis, Market Analytics, Market Intelligence, Market Potential Analysis, Market Research, Market Share Analysis, Sales, Sales Data Enrichment, Sales Enablement, Sales Insights, Sales Intelligence, Spending Analytics, Stock Market Predictions, and Trend Analysis

Release Date: 2021-04-15.Release Schedule:.The data in this file come from the 2017 Economic Census. For information about economic census planned data product releases, see Economic Census: About: 2017 Release Schedules...Key Table Information:.Includes only establishments of firms with payroll..Data may be subject to employment- and/or sales-size minimums that vary by industry...Data Items and Other Identifying Records:.Number of establishments.Sales, value of shipments, or revenue ($1,000).Distribution of sales, value of shipments, or revenue (%) .Response coverage of class of customer inquiry (%)..Each record includes a code which represents a specific class of customer...For Wholesale Trade (42), data are published by Type of Operation (All establishments, Merchant Wholesalers, and Manufacturers' Sales Branches and Offices)...For Professional, Scientific, and Technical Services (54), and Other Services (except Public Administration) (81), data are published by Tax Status (Establishments subject to federal income tax) only...Geography Coverage:.The data are shown for employer establishments of firms at the U.S. level for the Utilities (22), Wholesale Trade (42), Retail Trade (44-45), Information (51), and Real Estate and Rental and Leasing (53) sectors. Data are shown for employer establishments of firms at the U.S. and state level for the Professional, Scientific, and Technical Services (54), Administrative and Support and Waste Management and Remediation Services (56), Accommodation and Food Services (72), and Other Services (except Public Administration) (81) sectors. For information about economic census geographies, including changes for 2017, see Economic Census: Economic Geographies...Industry Coverage:.The data are shown for select 4-digit 2017 NAICS codes for Utilities (22); 2- through 7-digit, and selected 8-digit 2017 NAICS code levels for Wholesale Trade (42); 2- through 6-digit 2017 NAICS code levels for Retail Trade (44-45) and Accommodation and Food Services (72); selected 3- through 6-digit 2017 NAICS code levels within subsector 517 for Information (51); selected 4- through 6-digit 2017 NAICS codes levels for Real Estate and Rental and Leasing (53) and Professional, Scientific, and Technical Services (54); and selected 3- through 6-digit 2017 NAICS code levels for Administrative and Support and Waste Management and Remediation Services (56) and Other Services (except Public Administration) (81). For information about NAICS, see Economic Census: Technical Documentation: Economic Census Code Lists...Footnotes:.Not applicable...FTP Download:.Download the entire table at: https://www2.census.gov/programs-surveys/economic-census/data/2017/sector00/EC1700CLCUST.zip..API Information:.Economic census data are housed in the Census Bureau API. For more information, see Explore Data: Developers: Available APIs: Economic Census..Methodology:.To maintain confidentiality, the U.S. Census Bureau suppresses data to protect the identity of any business or individual. The census results in this file contain sampling and/or nonsampling error. Data users who create their own estimates using data from this file should cite the U.S. Census Bureau as the source of the original data only...To comply with disclosure avoidance guidelines, data rows with fewer than three contributing establishments are not presented. Additionally, establishment counts are suppressed when other select statistics in the same row are suppressed. For detailed information about the methods used to collect and produce statistics, including sampling, eligibility, questions, data collection and processing, data quality, review, weighting, estimation, coding operations, confidentiality protection, sampling error, nonsampling error, and more, see Economic Census: Technical Documentation: Methodology...Symbols:.D - Withheld to avoid disclosing data for individual companies; data are included in higher level totals.N - Not available or not comparable.S - Estimate does not meet publication standards because of high sampling variability, poor response quality, or other concerns about the estimate quality. Unpublished estimates derived from this table by subtraction are subject to these same limitations and should not be attributed to the U.S. Census Bureau. For a description of publication standards and the total quantity response rate, see link to program methodology page..X - Not applicable.A - Relative standard error of 100% or more.r - Revised.s - Relative standard error exceeds 40%.For a complete list of symbols, see Economic Census: Technical Documentation: Data Dictionary.. .Source:.U.S. Census Bureau, 2017 Economic Census.For information about the economic census, see Business and Economy: Economic Census...Contact Information:.U.S. Census Bureau.For general inquiries:. (800) 242-2184/ (301) 763-5154. ewd.outreach@census.gov.For specific data questions:. (800) 541-8345.For additional contacts, see Economic Census: About: Conta...

Advances in contactless payments, mobile commerce, and cloud-based transactions are boosting the Wireless POS Terminal Market at a very rapid pace. The other sectors that add more fuel to this are retail, hospitality, health care, and transportation, where customers will be able to do things more easily through wireless POS systems, which, in turn, will enhance the operational efficiency. Large-scale innovation in the areas of NFC-enabled terminals, AI-driven analytics, and biometric authentication reduce risks and speed up the transactional process. Through government initiatives and a high rate of penetration with smartphones, economy growth has led to slow economic progression towards achieving a completely cashless economy.Cybersecurity threats, high upfront investment, and low connectivity are the biggest problems in the market. The top leaders in this market are Ingenico, Verifone, Square, PAX Technology, and First Data, which are investing in IoT and 5G-powered POS solutions. As integration in cloud computing, AI, and blockchain starts to grow, the market will remain growing even further, providing businesses with agile and secure solution for wireless payments.Concentration & CharacteristicsConcentration Areas: The global wireless POS terminal market is highly concentrated, with a few key players controlling a majority of the market share. The top 5 players accounted for over 60% of the market in 2022.Characteristics of Innovation: The wireless POS terminal market is characterized by rapid technological innovation, with manufacturers constantly introducing new products with advanced features and capabilities. Key innovation areas include contactless payments, mobile payments, and value-added services such as customer loyalty programs and analytics.Impact of Regulations: Regulations play a significant role in the wireless POS terminal market, particularly in areas related to data security, privacy, and payment standards. Governments worldwide are implementing strict regulations to protect consumer data and ensure the integrity of payment transactions.Product Substitutes: The wireless POS terminal market faces competition from alternative payment methods such as mobile wallets and mobile point-of-sale (mPOS) systems. However, wireless POS terminals remain a preferred choice for many merchants due to their reliability, security, and ease of use.End-User Concentration and Level of M&A: The wireless POS terminal market is highly concentrated on the end-user side, with retail, hospitality, and healthcare industries accounting for the majority of the demand. The level of mergers and acquisitions (M&A) activity in the market is moderate, with companies seeking to expand their market share and enhance their product offerings.Key Wireless POS Terminal Market Trends HighlightedGrowth of Contactless Payments: Contactless payment methods such as NFC and QR codes have gained significant popularity, driving the demand for wireless POS terminals that support these technologies.Adoption of Mobile Payments: Mobile payments through smartphones and tablets are becoming increasingly prevalent, leading to a shift towards mPOS systems and wireless POS terminals that integrate with mobile devices.Increased Use of Value-Added Services: Merchants are increasingly seeking wireless POS terminals that offer value-added services such as customer loyalty programs, data analytics, and inventory management. These services enhance customer engagement and provide merchants with valuable business insights.Rising Popularity of Cloud-Based POS Systems: Cloud-based POS systems are gaining traction as they offer benefits such as cost savings, scalability, and access to real-time data. Wireless POS terminals are becoming increasingly compatible with cloud-based POS systems.Growing Demand in Emerging Markets: Emerging markets are expected to witness significant growth in the wireless POS terminal market as businesses in these regions adopt digital payment methods and seek to improve customer experiences.Key Region or Country & Segment to Dominate the Market Recent developments include: 1 Feb 2023: Ingenico and Splitit have teamed up to integrate white label, buy now pay later (BNPL) for physical checkout with a single tap., Ingenico S.A. revealed its alliance with BharatPe in March 2022. The latter aims at deploying advanced payment and commerce services to Indian merchants as well as accelerating the adoption of POS devices in India., 18 January 2022: Verifone, a worldwide fintech leader and provider of payment technology to the world’s leading retail brands, announced that it has partnered with Affirm, the consumer-empowering payment network that helps merchants grow their businesses. This partnership will enable Affirm's payment options that are transparent and flexible to be widely available on both Verifone e-commerce platforms and card present solutions., Adyen declared in January 2022 about the availability of mobile Android point-of-sale (POS) terminals throughout the USA. In terms of a change in function by turning into one complete entity instead of different cash registers, barcode readers, and customer-facing displays, these appliances are indicative., Revolut stated in July 2022 that it would expand card reader capabilities into POS solution, thus giving larger suppliers more choices if they need to integrate Revolut card scanner with existing POS systems. The wireless card reader is battery-powered, can be charged and supports chip and pin cards and contactless payments like Apple Pay etc., Samsung Electronics introduced Samsung Kiosk in June 2021 which is an all-in-one solution providing contactless ordering and payment capabilities. The kiosk currently available within America, including the US itself, Canada UK, Ireland, France, Sweden, Netherlands, Belgium, Spain, Austria, and Australia, plus twelve other countries across the globe; hence, day life includes kiosks offering easy interactive buying experiences for consumers while businesses can look at them as innovative approaches for rethinking offices enhancing productivity.. Key drivers for this market are: Growing demand for digital payments Increasing adoption of mobile and contactless technologies Rising need for enhanced customer experiences Expansion of value-added services. Potential restraints include: Security concerns related to data breaches Lack of infrastructure in certain regions High cost of equipment and maintenance Competition from alternative payment methods. Notable trends are: Contactless payment methods such as NFC and QR codes have gained significant popularity, driving the demand for wireless POS terminals that support these technologies. Mobile payments through smartphones and tablets are becoming increasingly prevalent, leading to a shift towards mPOS systems and wireless POS terminals that integrate with mobile devices. Merchants are increasingly seeking wireless POS terminals that offer value-added services such as customer loyalty programs, data analytics, and inventory management. These services enhance customer engagement and provide merchants with valuable business insights..

Graph and download economic data for Merchant Wholesalers, Except Manufacturers' Sales Branches and Offices: Nondurable Goods: Beer, Wine, and Distilled Alcoholic Beverages Inventories/Sales Ratio (R4248IM163SCEN) from Jan 1992 to Apr 2025 about wine, beer, alcohol, merchant, beverages, wholesale, ratio, nondurable goods, sales, goods, manufacturing, and USA.

Graph and download economic data for Merchant Wholesalers, Except Manufacturers' Sales Branches and Offices: Durable Goods: Machinery, Equipment, and Supplies Inventories/Sales Ratio (R4238IM163SCEN) from Jan 1992 to Apr 2025 about merchant, wholesale, supplies, ratio, machinery, equipment, durable goods, sales, goods, manufacturing, and USA.

Release Date: 2020-06-25.Release Schedule:.The data in this file come from the 2017 Economic Census data files released on a flow basis starting in September 2019. As such, preliminary U.S. totals released in September 2019 will be superseded with final totals, by sector, once data for all states have been released. Users should be aware that during the release of this consolidated file, data at more detailed North American Industry Classification System (NAICS) and geographic levels may not add to higher-level totals. However, at the completion of the economic census (once all the component files have been released), the detailed data in this file will add to the totals. For more information about economic census planned data product releases, see Economic Census: About: 2017 Release Schedules...Key Table Information:.U.S. totals released in September 2019 will be superseded with final totals, by sector, once data for all states have been released..Includes only establishments and firms with payroll..Data may be subject to employment- and/or sales-size minimums that vary by industry...Data Items and Other Identifying Records: .Number of firms.Number of establishments.Sales, value of shipments, or revenue ($1,000).Annual payroll ($1,000).First-quarter payroll ($1,000).Number of employees.Operating expenses ($1,000).Total inventories, beginning of year ($1,000).Total inventories, end of year ($1,000).Range indicating percent of total sales, value of shipments, or revenue imputed.Range indicating percent of total annual payroll imputed.Range indicating percent of total employees imputed..For Wholesale Trade (42), data are published by Type of Operation (All establishments, Merchant Wholesalers, and Manufacturers' Sales Branches and Offices)...Geography Coverage:.The data are shown for employer establishments and firms at the U.S., State, Combined Statistical Area, Metropolitan and Micropolitan Statistical Area, Metropolitan Division, Consolidated City, County (and equivalent), and Economic Place (and equivalent; incorporated and unincorporated) levels that vary by industry. For information about economic census geographies, including changes for 2017, see Economic Census: Economic Geographies...Industry Coverage:.The data are shown at the 2- through 7-digit, and selected 8-digit 2017 NAICS code levels. For information about NAICS, see Economic Census: Technical Documentation: Code Lists...Footnotes:.Not applicable...FTP Download:.Download the entire table at: https://www2.census.gov/programs-surveys/economic-census/data/2017/sector42/EC1742BASIC.zip..API Information:.Economic census data are housed in the Census Bureau API. For more information, see Explore Data: Developers: Available APIs: Economic Census..Methodology:.To maintain confidentiality, the U.S. Census Bureau suppresses data to protect the identity of any business or individual. The census results in this file contain sampling and/or nonsampling error. Data users who create their own estimates using data from this file should cite the U.S. Census Bureau as the source of the original data only...To comply with disclosure avoidance guidelines, data rows with fewer than three contributing establishments are not presented. Additionally, establishment counts are suppressed when other select statistics in the same row are suppressed. For detailed information about the methods used to collect and produce statistics, including sampling, eligibility, questions, data collection and processing, data quality, review, weighting, estimation, coding operations, confidentiality protection, sampling error, nonsampling error, and more, see Economic Census: Technical Documentation: Methodology...Symbols:.D - Withheld to avoid disclosing data for individual companies; data are included in higher level totals.N - Not available or not comparable.S - Estimate does not meet publication standards because of high sampling variability, poor response quality, or other concerns about the estimate quality. Unpublished estimates derived from this table by subtraction are subject to these same limitations and should not be attributed to the U.S. Census Bureau. For a description of publication standards and the total quantity response rate, see link to program methodology page..X - Not applicable.A - Relative standard error of 100% or more.r - Revised.s - Relative standard error exceeds 40%.For a complete list of symbols, see Economic Census: Technical Documentation: Data Dictionary.. .Source:.U.S. Census Bureau, 2017 Economic Census.For information about the economic census, see Business and Economy: Economic Census...Contact Information:.U.S. Census Bureau.For general inquiries:. (800) 242-2184/ (301) 763-5154. ewd.outreach@census.gov.For specific data questions:. (800) 541-8345.For additional contacts, see Economic Census: About: Contact Us.

Key Table Information.Table Title.Wholesale Trade: Sales and Commissions of Electronic Markets, Agents, Brokers, and Commission Merchants for the U.S.: 2022.Table ID.ECNCOMM2022.EC2242COMM.Survey/Program.Economic Census.Year.2022.Dataset.ECN Sector Statistics Sector 42: Wholesale Trade.Source.U.S. Census Bureau, 2022 Economic Census, Sector Statistics.Release Date.2025-07-10.Release Schedule.The Economic Census occurs every five years, in years ending in 2 and 7.The data in this file come from the 2022 Economic Census data files released on a flow basis starting in January 2024 with First Look Statistics. Preliminary U.S. totals released in January 2024 are superseded with final data shown in the releases of later economic census statistics through March 2026.For more information about economic census planned data product releases, see 2022 Economic Census Release Schedule..Dataset Universe.The dataset universe consists of all establishments that are in operation for at least some part of 2022, are located in one of the 50 U.S. states, associated offshore areas, or the District of Columbia, have paid employees, and are classified in one of nineteen in-scope sectors defined by the 2022 North American Industry Classification System (NAICS)..Methodology.Data Items and Other Identifying Records.Number of establishmentsSales, value of shipments, or revenue ($1,000)Sales on own account ($1,000)Sales made on the account of others ($1,000)Sales made on the account of others as percent of total sales, value of shipments, or revenue (%)Commissions received for sales made on the account of others ($1,000)Commissions received for sales made on the account of others as percent of sales on the account of others (%)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 economic census are employer establishments. An establishment is generally a single physical location where business is conducted or where services or industrial operations are performed. A company or firm is comprised of one or more in-scope establishments that operate under the ownership or control of a single organization. For some industries, the reporting units are instead groups of all establishments in the same industry belonging to the same firm..Geography Coverage.The data are shown for the U.S. level only. For information about economic census geographies, including changes for 2022, see Geographies..Industry Coverage.The data are shown at the 3- through 8-digit 2022 NAICS code levels within subsector 425. For information about NAICS, see Economic Census Code Lists..Business Characteristics.For Wholesale Trade (42), data are presented by Type of Operation (All establishments) only..Sampling.The 2022 Economic Census sample includes all active operating establishments of multi-establishment firms and approximately 1.7 million single-establishment firms, stratified by industry and state. Establishments selected to the sample receive a questionnaire. For some data on this table, estimates come only from the establishments selected into the sample. For more information about the sample design, see 2022 Economic Census 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. 7504609, Disclosure Review Board (DRB) approval number: CBDRB-FY23-099).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 disclosure avoidance guidelines, data rows with fewer than three contributing firms or three contributing establishments are not presented. Additionally, establishment counts are suppressed when other select statistics in the same row are suppressed. More information on disclosure avoidance is available in the 2022 Economic Census Methodology..Technical Documentation/Methodology.For detailed information about the methods used to collect data and produce statistics, survey questionnaires, Primary Business Activity/NAICS codes, NAPCS codes, and more, see Economic Census Technical Documentation..Weights.For some data on this table, estimates come only from the establishments selected into the sample. For these estimates, selected establishments have sampling weights equal to the inverse of their selection probability, generally between 1 and 40. There is further weighting to account for nonresponse and to ensure that detailed estimates sum to basic statistics where applicable. For more information on weighting, see 2022 Economic Census Methodology..Table Information.FTP Download.https://www2.census.gov/programs-surveys/economic-census/data/2022/sector42/.API Information.Economic census data are housed in the Census Bureau Application Programming Interface (API)..Symbols.D - Withheld to avoid disclosing da...

Release Date: 2020-08-20.Sector 51 Revision: June 2, 2020.Data shown in "All Sectors: Summary Statistics for the U.S., States, and Selected Geographies: 2017" and "Information: Summary Statistics for the U.S., States, and Selected Geographies: 2017" have been revised after conducting additional analytical review that revealed classification uncertainties within the Information sector (NAICS 51). As a result, some data are suppressed to ensure that confidentiality is adequately protected. The originally released data were publicly available from January 9, 2020 - June 2, 2020. The revised data were released June 2, 2020..Release Schedule:.The data in this file come from the 2017 Economic Census data files released on a flow basis starting in September 2019. As such, preliminary U.S. totals released in September 2019 will be superseded with final totals, by sector, once data for all states have been released. Users should be aware that during the release of this consolidated file, data at more detailed North American Industry Classification System (NAICS) and geographic levels may not add to higher-level totals. However, at the completion of the economic census (once all the component files have been released), the detailed data in this file will add to the totals. For more information about economic census planned data product releases, see Economic Census: About: 2017 Release Schedules...Key Table Information:.U.S. totals released in September 2019 will be superseded with final totals, by sector, once data for all states have been released..Includes only establishments and firms with payroll..Data may be subject to employment- and/or sales-size minimums that vary by industry...Data Items and Other Identifying Records: .Number of firms.Number of establishments.Sales, value of shipments, or revenue ($1,000).Annual payroll ($1,000).First-quarter payroll ($1,000).Number of employees.Range indicating percent of total sales, value of shipments, or revenue imputed.Range indicating percent of total annual payroll imputed.Range indicating percent of total employees imputed..For Wholesale Trade (42), data are published by Type of Operation (All establishments, Merchant Wholesalers, and Manufacturers' Sales Branches and Offices)...For selected Services sectors, data are published by Tax Status (All establishments, Establishments subject to federal income tax, and Establishments exempt from federal income tax)...Geography Coverage:.The data are shown for employer establishments and firms at the U.S., State, Combined Statistical Area, Metropolitan and Micropolitan Statistical Area, Metropolitan Division, Consolidated City, County (and equivalent), and Economic Place (and equivalent; incorporated and unincorporated) levels that vary by industry. For information about economic census geographies, including changes for 2017, see Economic Census: Economic Geographies...Industry Coverage:.The data are shown at the 2- through 6-digit 2017 NAICS code levels for all economic census sectors and at the 7- and 8-digit 2017 NAICS code levels for selected economic census sectors. For information about NAICS, see Economic Census: Technical Documentation: Code Lists...Footnotes:.Transportation and Warehousing (48-49): footnote 106- Railroad transportation and U.S. Postal Service are out of scope...FTP Download:.Download the entire table at: https://www2.census.gov/programs-surveys/economic-census/data/2017/sector00/EC1700BASIC.zip..API Information:.Economic census data are housed in the Census Bureau API. For more information, see Explore Data: Developers: Available APIs: Economic Census..Methodology:.To maintain confidentiality, the U.S. Census Bureau suppresses data to protect the identity of any business or individual. The census results in this file contain sampling and/or nonsampling error. Data users who create their own estimates using data from this file should cite the U.S. Census Bureau as the source of the original data only...To comply with disclosure avoidance guidelines, data rows with fewer than three contributing establishments are not presented. Additionally, establishment counts are suppressed when other select statistics in the same row are suppressed. For detailed information about the methods used to collect and produce statistics, including sampling, eligibility, questions, data collection and processing, data quality, review, weighting, estimation, coding operations, confidentiality protection, sampling error, nonsampling error, and more, see Economic Census: Technical Documentation: Methodology...Symbols:.D - Withheld to avoid disclosing data for individual companies; data are included in higher level totals.N - Not available or not comparable.S - Estimate does not meet publication standards because of high sampling variability, poor response quality, or other concerns about the estimate quality. Unpublished estimates derived from this table by subtraction are subject to these same limitations and sh...

The market is growing steadily; this mainly hails from increased demand for more efficient fleet management, as well as cost-cutting solutions. By using a fuel card, an organization is empowered to trace down its consumption, easily keep record of expenditure tracking, and has stronger control over its operation of fleet, which would usually be mainly absorbed by operating expenses when it is referring to transport or logistics companies or also construction-related projects.Cards are integrated with GPS systems and mobile applications that also enhance their usability by providing real-time transaction tracking. Electric and alternative fuel vehicles are shifting the dynamics of this market; more and more providers are changing their offerings to support such transitions. The most significant threats are fraud and data security issues, which have resulted in providers developing sophisticated security measures. North America is leading the market, but Asia-Pacific is an area of promising growth due to increased industrial activities and fleet sizes. The fuel card market will continue to grow as companies place more emphasis on cost efficiency and transparency in their operations.Concentration & CharacteristicsConcentration Areas:The fuel card market is highly concentrated, with a few dominant players holding a significant market share.Key players include FLEETCOR, WEX Inc., WAG Payment Solutions PLC, B.P. PLC, and Exxon Mobil.Characteristics of Innovation:Market players are focusing on technological advancements to provide enhanced user experiences.Innovations include mobile payments, real-time tracking, and advanced fraud protection systems.Companies are also exploring partnerships with third-party service providers to offer comprehensive solutions.Impact of Regulations:Regulations governing fuel card transactions and data privacy are becoming more stringent.Companies must ensure compliance to avoid penalties and maintain customer trust.Product Substitutes:Payment methods such as mobile wallets and contactless payments may pose a threat to traditional fuel cards.However, fuel cards offer specific benefits, such as fleet management and expense tracking, making them a viable option for fleet operators.End-user Concentration and Level of M&A:Fleet operators and commercial vehicle businesses are the primary end-users of fuel cards.The market has witnessed significant M&A activity, with companies acquiring smaller players to expand their geographic reach or product offerings.Key Fuel Card Market Trends HighlightedIncreasing Demand for Fleet Management Solutions: The need for efficient fleet management and fuel cost control is driving the adoption of fuel cards.Growth of Smart Fuel Cards: Fuel cards with embedded chips and contactless payment features enhance convenience and security.Expansion of Telematics Integration: Fuel cards are being integrated with telematics systems, providing real-time vehicle data and improved fuel efficiency.Focus on Sustainability: Fuel cards are promoting the use of cleaner fuels and tracking carbon emissions to support sustainability initiatives.Adoption of Mobile Technologies: Mobile apps offer convenient access to fuel card accounts, transaction history, and vehicle tracking.Key Region or Country & Segment to Dominate the MarketDominant Regions:North America and Europe are the largest fuel card markets globally.The Asia-Pacific region is expected to experience significant growth due to the increasing adoption of fleet management solutions and economic development.Dominant Segments:Card Type: Branded fuel cards hold the largest market share due to their specific benefits and loyalty programs.Vehicle Type: Heavy fleet vehicles account for a larger portion of fuel card usage due to their high fuel consumption and need for efficient management.Application: Fuel refill remains the primary application, but other applications such as parking and vehicle service are gaining traction.Fuel Card Market Product InsightsBranded Fuel Cards: Cards issued by specific fuel retailers, offering loyalty programs and exclusive discounts.Universal Fuel Cards: Cards accepted at multiple fuel stations, providing flexibility and convenience.Merchant Fuel Cards: Cards used for fuel purchases at specific merchant locations.Heavy Fleet Cards: Cards designed for heavy-duty vehicles, providing tracking and cost control features.Light Fleet Cards: Cards suitable for smaller fleet vehicles, offering simplified management and reduced costs.Driving Forces: What's Propelling the Fuel Card MarketCost Savings: Fuel cards help fleet operators reduce fuel expenses through bulk discounts and negotiated rates.Enhanced Fleet Management: Fuel cards provide detailed transaction data, vehicle tracking, and expense reporting.Improved Security: Secure payment methods and fraud detection systems minimize unauthorized transactions.Convenience: Fuel cards offer cashless payment, eliminating manual expense tracking and improving cash flow.Government Incentives: Some governments offer incentives for the adoption of fuel cards to promote energy efficiency.Challenges and Restraints in Fuel Card MarketCompetition from Alternative Payment Methods: Mobile wallets and contactless payments may challenge fuel cards.Fluctuating Fuel Prices: Market volatility can impact fuel card usage and profitability.Data Privacy Concerns: Companies need to ensure compliance with data privacy regulations.High Implementation Costs: Implementing fuel card systems can involve upfront costs and ongoing expenses.Fraud and Security Risks: Fuel card fraud remains a concern, requiring robust security measures.Emerging Trends in Fuel Card MarketArtificial Intelligence (AI): AI-powered analytics provide insights into fuel consumption patterns and optimize fleet performance.Blockchain Technology: Blockchain offers secure and transparent fuel card transactions.Electrification: The growing adoption of electric vehicles may impact fuel card usage.Pay-as-you-drive Models: Subscription-based fuel cards offer flexible payment options.Biofuels and Alternative Fuels: Fuel cards are being adapted to support the use of renewable and alternative fuels.Growth Catalysts in Fuel IndustryIncreasing Fuel Consumption: Rising vehicle ownership and freight transportation are driving fuel demand.Government Regulations: Fuel efficiency and emissions standards promote the use of fuel cards.Technology Advancements: Innovations in telematics and mobile apps enhance fuel card functionality.Expansion into New Markets: Fuel card providers are targeting emerging markets and exploring new customer segments.Partnerships and Collaborations: Partnerships with vehicle manufacturers and service providers create value-added solutions for fleet operators.Key Companies in the Fuel Card Market IncludeFLEETCOR Technologies, Inc.WEX Inc.WAG Payment Solutions PLC (Eurowag)BP PLCRoyal Dutch Shell PLCRadius Payment SolutionsU.S. BancorpAllstar Business SolutionsChevron CorporationTotalEnergies SEDKV Mobility Services GroupFuelmanAral AGCircle KRecent Developments in Fuel CardAugust 2021: U.S. Bank collaborates with Mastercard to expand its fleet card services by introducing the U.S. Bank Voyager Mastercard.November 2023: Radius enhances its offering by allowing users to pre-book HGV parking and washing at truck stops nationwide.Comprehensive Coverage Fuel Card Market ReportThis report provides comprehensive coverage of the fuel card market, including:Market size and growth projectionsRegional and segment analysisKey market trends and driversCompetitive landscapeIndustry challenges and opportunitiesLatest developments and company profiles Recent developments include: In August 2021, U.S. Bank has collaborated with Mastercard to introduce the U.S. Bank Voyager Mastercard, expanding its fleet card services. This card allows users to pay for various fleet-related expenses at existing Voyager merchant locations and anywhere Mastercard is accepted. Fleet managers can tailor spend controls for drivers and vehicles, overseeing an array of purchases beyond fuel and maintenance. The card covers tolls, emergency repairs, international fuel purchases, and more. In November 2023, Radius, the largest UK fuel card supplier, enhances its offering by allowing users to pay and pre-book HGV parking and washing at truck stops nationwide. In partnership with TRAVIS Road Services, this service aims to address the challenge of inadequate parking for HGVs, offering convenience and safety for drivers. Users can manage fuel and services through the online portal, Radius Velocity. The initial rollout covers the UK, with expansion to the Republic of Ireland and Europe in 2024. . Key drivers for this market are: Fuel cards help fleet operators reduce fuel expenses through bulk discounts and negotiated rates. Fuel cards provide detailed transaction data, vehicle tracking, and expense reporting. Secure payment methods and fraud detection systems minimize unauthorized transactions.. Potential restraints include: Mobile wallets and contactless payments may challenge fuel cards. Market volatility can impact fuel card usage and profitability. Companies need to ensure compliance with data privacy regulations.. Notable trends are: The need for efficient fleet management and fuel cost control is driving the adoption of fuel cards. Fuel cards with embedded chips and contactless payment features enhance convenience and security. Fuel cards are being integrated with telematics systems, providing real-time vehicle data and improved fuel efficiency..

Release Date: 2020-12-17.Release Schedule:.The data in this file come from the 2017 Economic Census. For more information about economic census planned data product releases, see Economic Census: About: 2017 Release Schedules...Key Table Information:.Includes only establishments of firms with payroll...Data Items and Other Identifying Records:.Number of establishments.Gross margin ($1,000) .Commissions received for sales made on the account of others ($1,000).Operating expenses ($1,000).Gross profit ($1,000).Gross profit as percent of total sales (%)..Geography Coverage:.The data are shown for employer establishments at the U.S. level only. For information about economic census geographies, including changes for 2017, see Economic Census: Economic Geographies...Industry Coverage:.The data are shown at the 2- through 7-digit and selected 8-digit 2017 NAICS code levels. For information about NAICS, see Economic Census: Technical Documentation: Economic Census Code Lists...Footnotes:.Not applicable...FTP Download:.Download the entire table at: https://www2.census.gov/programs-surveys/economic-census/data/2017/sector42/EC1742PROFIT.zip..API Information:.Economic census data are housed in the Census Bureau API. For more information, see Explore Data: Developers: Available APIs: Economic Census..Methodology:.To maintain confidentiality, the U.S. Census Bureau suppresses data to protect the identity of any business or individual. The census results in this file contain sampling and/or nonsampling error. Data users who create their own estimates using data from this file should cite the U.S. Census Bureau as the source of the original data only...To comply with disclosure avoidance guidelines, data rows with fewer than three contributing establishments are not presented. Additionally, establishment counts are suppressed when other select statistics in the same row are suppressed. For detailed information about the methods used to collect and produce statistics, including sampling, eligibility, questions, data collection and processing, data quality, review, weighting, estimation, coding operations, confidentiality protection, sampling error, nonsampling error, and more, see Economic Census: Technical Documentation: Methodology...Symbols:.D - Withheld to avoid disclosing data for individual companies; data are included in higher level totals.N - Not available or not comparable.S - Estimate does not meet publication standards because of high sampling variability, poor response quality, or other concerns about the estimate quality. Unpublished estimates derived from this table by subtraction are subject to these same limitations and should not be attributed to the U.S. Census Bureau. For a description of publication standards and the total quantity response rate, see link to program methodology page..X - Not applicable.A - Relative standard error of 100% or more.r - Revised.s - Relative standard error exceeds 40%.For a complete list of symbols, see Economic Census: Technical Documentation: Data Dictionary.. .Source:.U.S. Census Bureau, 2017 Economic Census.For information about the economic census, see Business and Economy: Economic Census...Contact Information:.U.S. Census Bureau.For general inquiries:. (800) 242-2184/ (301) 763-5154. ewd.outreach@census.gov.For specific data questions:. (800) 541-8345.For additional contacts, see Economic Census: About: Contact Us.

Release Date: 2020-12-17.Release Schedule:.The data in this file come from the 2017 Economic Census. For more information about economic census planned data product releases, see Economic Census: About: 2017 Release Schedules...Key Table Information:.Includes only establishments of firms with payroll...Data Items and Other Identifying Records:.Number of establishments.Sales, value of shipments, or revenue ($1,000).Sales on own account ($1,000).Sales made on the account of others ($1,000).Sales made on the account of others as a percent of total sales (%).Commissions received for sales made on the account of others ($1,000).Commissions received for sales made on the account of others as percent of sales on the account of others (%)..Geography Coverage:.The data are shown for employer establishments at the U.S. level only. For information about economic census geographies, including changes for 2017, see Economic Census: Economic Geographies...Industry Coverage:.The data are shown at the 3- through 8-digit 2017 NAICS code levels within subsector 425. For information about NAICS, see Economic Census: Technical Documentation: Economic Census Code Lists...Footnotes:.Not applicable...FTP Download:.Download the entire table at: https://www2.census.gov/programs-surveys/economic-census/data/2017/sector42/EC1742COMM.zip..API Information:.Economic census data are housed in the Census Bureau API. For more information, see Explore Data: Developers: Available APIs: Economic Census..Methodology:.To maintain confidentiality, the U.S. Census Bureau suppresses data to protect the identity of any business or individual. The census results in this file contain sampling and/or nonsampling error. Data users who create their own estimates using data from this file should cite the U.S. Census Bureau as the source of the original data only...To comply with disclosure avoidance guidelines, data rows with fewer than three contributing establishments are not presented. Additionally, establishment counts are suppressed when other select statistics in the same row are suppressed. For detailed information about the methods used to collect and produce statistics, including sampling, eligibility, questions, data collection and processing, data quality, review, weighting, estimation, coding operations, confidentiality protection, sampling error, nonsampling error, and more, see Economic Census: Technical Documentation: Methodology...Symbols:.D - Withheld to avoid disclosing data for individual companies; data are included in higher level totals.N - Not available or not comparable.S - Estimate does not meet publication standards because of high sampling variability, poor response quality, or other concerns about the estimate quality. Unpublished estimates derived from this table by subtraction are subject to these same limitations and should not be attributed to the U.S. Census Bureau. For a description of publication standards and the total quantity response rate, see link to program methodology page..X - Not applicable.A - Relative standard error of 100% or more.r - Revised.s - Relative standard error exceeds 40%.For a complete list of symbols, see Economic Census: Technical Documentation: Data Dictionary.. .Source:.U.S. Census Bureau, 2017 Economic Census.For information about the economic census, see Business and Economy: Economic Census...Contact Information:.U.S. Census Bureau.For general inquiries:. (800) 242-2184/ (301) 763-5154. ewd.outreach@census.gov.For specific data questions:. (800) 541-8345.For additional contacts, see Economic Census: About: Contact Us.

Global Spend 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 Vision EUR is an aggregated transaction feed that includes consumer transaction data on 6.7M+ Europe-domiciled payment accounts, including 5.3M+ active monthly users. Capturing online, offline, and 3rd-party consumer spending on public and private companies, data covers 4.4K+ brands and 620 symbols including 490 public tickers. 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 understand a company’s growth by country for a specific time period (Ex: What was McDonald’s year-over-year growth by country from 2019-2020?)

Inquire about a CE subscription to perform more complex, near real-time global spend analysis functions on public tickers and private brands like: • Analyze year-over-year spend growth for a company for a subindustry by country • Analyze spend growth for a company vs. its competitors by country through most recent time

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: Global Spend Analysis

Problem A global retailer wants to understand company performance by geography to identify growth and expansion opportunities.

Solution Consumer Edge transaction data can be used to analyze shopper behavior across geographies and track: • Growth trends by country vs. competitors • Brand performance vs. subindustry by country • Opportunities for product and location expansion

Impact Marketing and Consumer Insights were able to: • Develop weekly reporting KPI's on key growth drivers by geography for company-wide reporting • Refine strategy in underperforming geographies, both online and offline • Identify areas for investment and expansion by country • Understand how different cohorts 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 • Churn • Cross-Shop • Average Ticket Buckets

Key Table Information.Table Title.All Sectors: Summary Statistics for the U.S., States, and Selected Geographies: 2022.Table ID.ECNBASIC2022.EC2200BASIC.Survey/Program.Economic Census.Year.2022.Dataset.ECN Core Statistics Summary Statistics for the U.S., States, and Selected Geographies: 2022.Source.U.S. Census Bureau, 2022 Economic Census, Core Statistics.Release Date.2024-12-05.Release Schedule.The Economic Census occurs every five years, in years ending in 2 and 7.The data in this file come from the 2022 Economic Census data files released on a flow basis starting in January 2024 with First Look Statistics. Preliminary U.S. totals released in January 2024 are superseded with final data shown in the releases of later economic census statistics through March 2026.For more information about economic census planned data product releases, see 2022 Economic Census Release Schedule..Dataset Universe.The dataset universe consists of all establishments that are in operation for at least some part of 2022, are located in one of the 50 U.S. states, associated offshore areas, or the District of Columbia, have paid employees, and are classified in one of nineteen in-scope sectors defined by the 2022 North American Industry Classification System (NAICS)..Methodology.Data Items and Other Identifying Records.Number of firmsNumber of establishmentsSales, value of shipments, or revenue ($1,000)Annual payroll ($1,000)First-quarter payroll ($1,000)Number of employeesRange indicating imputed percentage of total sales, value of shipments, or revenueRange indicating imputed percentage of total annual payrollRange indicating imputed percentage of total employeesDefinitions 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 economic census are employer establishments. An establishment is generally a single physical location where business is conducted or where services or industrial operations are performed. A company or firm is comprised of one or more in-scope establishments that operate under the ownership or control of a single organization. For some industries, the reporting units are instead groups of all establishments in the same industry belonging to the same firm..Geography Coverage.The data are shown for the U.S., State, Combined Statistical Area, Metropolitan and Micropolitan Statistical Area, Metropolitan Division, Consolidated City, County (and equivalent), and Economic Place (and equivalent; incorporated and unincorporated) levels that vary by industry. For information about economic census geographies, including changes for 2022, see Geographies..Industry Coverage.The data are shown at the 2- through 6-digit 2022 NAICS code levels for all sectors except Agriculture, which is releasing 3-through 6-digit NAICS code levels for 115 only. Data are also shown for selected 7- and 8-digit 2022 NAICS-based code levels for various sectors. For information about NAICS, see Economic Census Code Lists..Business Characteristics.For Wholesale Trade (42), data are presented by Type of Operation (All establishments; Merchant Wholesalers, except Manufacturers’ Sales Branches and Offices; and Manufacturers’ Sales Branches and Offices).For selected Services sectors, data are presented by Tax Status (All establishments, Establishments subject to federal income tax, and Establishments exempt from federal income tax)..Sampling.The 2022 Economic Census sample includes all active operating establishments of multi-establishment firms and approximately 1.7 million single-establishment firms, stratified by industry and state. Establishments selected to the sample receive a questionnaire. For all data on this table, establishments not selected into the sample are represented with administrative data. For more information about the sample design, see 2022 Economic Census 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. 7504609, Disclosure Review Board (DRB) approval number: CBDRB-FY23-099).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 disclosure avoidance guidelines, data rows with fewer than three contributing firms or three contributing establishments are not presented. Additionally, establishment counts are suppressed when other select statistics in the same row are suppressed. More information on disclosure avoidance is available in the 2022 Economic Census Methodology..Technical Documentation/Methodology.For detailed information about the methods used to collect data and produce statistics, survey questionnaires, Primary Business Activity/NAICS codes, NAPCS codes, and more, see Economic Census Technical Documentation..Weights.No weighting applied as establishments not samp...

Key Table Information.Table Title.Wholesale Trade: Summary Statistics for the U.S., States, and Selected Geographies: 2022.Table ID.ECNBASIC2022.EC2242BASIC.Survey/Program.Economic Census.Year.2022.Dataset.ECN Core Statistics Summary Statistics for the U.S., States, and Selected Geographies: 2022.Source.U.S. Census Bureau, 2022 Economic Census, Core Statistics.Release Date.2024-12-05.Release Schedule.The Economic Census occurs every five years, in years ending in 2 and 7.The data in this file come from the 2022 Economic Census data files released on a flow basis starting in January 2024 with First Look Statistics. Preliminary U.S. totals released in January 2024 are superseded with final data shown in the releases of later economic census statistics through March 2026.For more information about economic census planned data product releases, see 2022 Economic Census Release Schedule..Dataset Universe.The dataset universe consists of all establishments that are in operation for at least some part of 2022, are located in one of the 50 U.S. states, associated offshore areas, or the District of Columbia, have paid employees, and are classified in one of nineteen in-scope sectors defined by the 2022 North American Industry Classification System (NAICS)..Methodology.Data Items and Other Identifying Records.Number of firmsNumber of establishmentsSales, value of shipments, or revenue ($1,000)Annual payroll ($1,000)First-quarter payroll ($1,000)Number of employeesOperating expenses ($1,000)Total inventories, beginning of year ($1,000)Total inventories, end of year ($1,000)Range indicating imputed percentage of total sales, value of shipments, or revenueRange indicating imputed percentage of total annual payrollRange indicating imputed percentage of total employeesDefinitions 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 economic census are employer establishments. An establishment is generally a single physical location where business is conducted or where services or industrial operations are performed. A company or firm is comprised of one or more in-scope establishments that operate under the ownership or control of a single organization. For some industries, the reporting units are instead groups of all establishments in the same industry belonging to the same firm..Geography Coverage.The data are shown for the U.S., State, Combined Statistical Area, Metropolitan and Micropolitan Statistical Area, Metropolitan Division, Consolidated City, County (and equivalent), and Economic Place (and equivalent; incorporated and unincorporated) levels that vary by industry. For information about economic census geographies, including changes for 2022, see Geographies..Industry Coverage.The data are shown at the 2- through 7-digit 2022 NAICS code levels and selected 8-digit 2022 NAICS-based code levels. For information about NAICS, see Economic Census Code Lists..Business Characteristics.For Wholesale Trade (42), data are presented by Type of Operation (All establishments; Merchant Wholesalers, except Manufacturers’ Sales Branches and Offices; and Manufacturers’ Sales Branches and Offices)..Sampling.The 2022 Economic Census sample includes all active operating establishments of multi-establishment firms and approximately 1.7 million single-establishment firms, stratified by industry and state. Establishments selected to the sample receive a questionnaire. For all data on this table, establishments not selected into the sample are represented with administrative data. For more information about the sample design, see 2022 Economic Census 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. 7504609, Disclosure Review Board (DRB) approval number: CBDRB-FY23-099).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 disclosure avoidance guidelines, data rows with fewer than three contributing firms or three contributing establishments are not presented. Additionally, establishment counts are suppressed when other select statistics in the same row are suppressed. More information on disclosure avoidance is available in the 2022 Economic Census Methodology..Technical Documentation/Methodology.For detailed information about the methods used to collect data and produce statistics, survey questionnaires, Primary Business Activity/NAICS codes, NAPCS codes, and more, see Economic Census Technical Documentation..Weights.No weighting applied as establishments not sampled are represented with administrative data..Table Information.FTP Download.https://www2.census.gov/programs-surveys/economic-census/data/2022/.API Information.Economic census data are housed in the Census Bureau Appli...

Envestnet®| Yodlee®'s Electronic Payment Data (Aggregate/Row) Panels consist of de-identified, near-real time (T+1) USA credit/debit/ACH transaction level data – offering a wide view of the consumer activity ecosystem. The underlying data is sourced from end users leveraging the aggregation portion of the Envestnet®| Yodlee®'s financial technology platform.

Envestnet | Yodlee Consumer Panels (Aggregate/Row) include data relating to millions of transactions, including ticket size and merchant location. The dataset includes de-identified credit/debit card and bank transactions (such as a payroll deposit, account transfer, or mortgage payment). Our coverage offers insights into areas such as consumer, TMT, energy, REITs, internet, utilities, ecommerce, MBS, CMBS, equities, credit, commodities, FX, and corporate activity. We apply rigorous data science practices to deliver key KPIs daily that are focused, relevant, and ready to put into production.

We offer free trials. Our team is available to provide support for loading, validation, sample scripts, or other services you may need to generate insights from our data.

Investors, corporate researchers, and corporates can use our data to answer some key business questions such as: - How much are consumers spending with specific merchants/brands and how is that changing over time? - Is the share of consumer spend at a specific merchant increasing or decreasing? - How are consumers reacting to new products or services launched by merchants? - For loyal customers, how is the share of spend changing over time? - What is the company’s market share in a region for similar customers? - Is the company’s loyal user base increasing or decreasing? - Is the lifetime customer value increasing or decreasing?

Additional Use Cases: - Use spending data to analyze sales/revenue broadly (sector-wide) or granular (company-specific). Historically, our tracked consumer spend has correlated above 85% with company-reported data from thousands of firms. Users can sort and filter by many metrics and KPIs, such as sales and transaction growth rates and online or offline transactions, as well as view customer behavior within a geographic market at a state or city level. - Reveal cohort consumer behavior to decipher long-term behavioral consumer spending shifts. Measure market share, wallet share, loyalty, consumer lifetime value, retention, demographics, and more.) - Study the effects of inflation rates via such metrics as increased total spend, ticket size, and number of transactions. - Seek out alpha-generating signals or manage your business strategically with essential, aggregated transaction and spending data analytics.

Use Cases Categories (Our data provides an innumerable amount of use cases, and we look forward to working with new ones): 1. Market Research: Company Analysis, Company Valuation, Competitive Intelligence, Competitor Analysis, Competitor Analytics, Competitor Insights, Customer Data Enrichment, Customer Data Insights, Customer Data Intelligence, Demand Forecasting, Ecommerce Intelligence, Employee Pay Strategy, Employment Analytics, Job Income Analysis, Job Market Pricing, Marketing, Marketing Data Enrichment, Marketing Intelligence, Marketing Strategy, Payment History Analytics, Price Analysis, Pricing Analytics, Retail, Retail Analytics, Retail Intelligence, Retail POS Data Analysis, and Salary Benchmarking

1. Investment Research: Financial Services, Hedge Funds, Investing, Mergers & Acquisitions (M&A), Stock Picking, Venture Capital (VC)

2. Consumer Analysis: Consumer Data Enrichment, Consumer Intelligence

3. Market Data: AnalyticsB2C Data Enrichment, Bank Data Enrichment, Behavioral Analytics, Benchmarking, Customer Insights, Customer Intelligence, Data Enhancement, Data Enrichment, Data Intelligence, Data Modeling, Ecommerce Analysis, Ecommerce Data Enrichment, Economic Analysis, Financial Data Enrichment, Financial Intelligence, Local Economic Forecasting, Location-based Analytics, Market Analysis, Market Analytics, Market Intelligence, Market Potential Analysis, Market Research, Market Share Analysis, Sales, Sales Data Enrichment, Sales Enablement, Sales Insights, Sales Intelligence, Spending Analytics, Stock Market Predictions, and Trend Analysis

Release Date: 2020-12-03.Release Schedule:.The data in this file are based on the 2017 Economic Census. For more information about economic census planned data product releases, see Economic Census: About: 2017 Release Schedules...Key Table Information:.Includes only establishments and firms with payroll..Data may be subject to employment- and/or sales-size minimums that vary by industry...Data Items and Other Identifying Records:.Number of firms.Number of establishments.Sales, value of shipments, or revenue ($1,000).Annual payroll ($1,000).First-quarter payroll ($1,000).Number of employees.Operating expenses ($1,000) (Wholesale Trade (42) only).Total inventories, beginning of year ($1,000) (Wholesale Trade (42) only).Total inventories, end of year ($1,000) (Wholesale Trade (42) only).Range indicating percent of total sales, value of shipments, or revenue imputed.Range indicating percent of total annual payroll imputed.Range indicating percent of total employees imputed..Each record includes a code which represents a specific sales, value of shipments, or revenue size category of establishments...For Wholesale Trade (42), data are published by Type of Operation (All establishments, Merchant Wholesalers, and Manufacturers' Sales Branches and Offices)...Geography Coverage:.The data are shown for employer establishments and firms at the U.S. level only. For information about economic census geographies, including changes for 2017, see Economic Census: Economic Geographies...Industry Coverage:.The data are shown at the 2- through 6-digit 2017 NAICS code levels for all economic census sectors (except Management of Companies and Enterprises (55)). For information about NAICS, see Economic Census: Technical Documentation: Economic Census Code Lists...Footnotes:.Transportation and Warehousing (48-49): footnote 106- Railroad transportation and U.S. Postal Service are out of scope...FTP Download:.Download the entire table at: https://www2.census.gov/programs-surveys/economic-census/data/2017/sector00/EC1700SIZEREVEST.zip..API Information:.Economic census data are housed in the Census Bureau API. For more information, see Explore Data: Developers: Available APIs: Economic Census..Methodology:.To maintain confidentiality, the U.S. Census Bureau suppresses data to protect the identity of any business or individual. The census results in this file contain sampling and/or nonsampling error. Data users who create their own estimates using data from this file should cite the U.S. Census Bureau as the source of the original data only...To comply with disclosure avoidance guidelines, data rows with fewer than three contributing establishments are not presented. Additionally, establishment counts are suppressed when other select statistics in the same row are suppressed. For detailed information about the methods used to collect and produce statistics, including sampling, eligibility, questions, data collection and processing, data quality, review, weighting, estimation, coding operations, confidentiality protection, sampling error, nonsampling error, and more, see Economic Census: Technical Documentation: Methodology...Symbols:.D - Withheld to avoid disclosing data for individual companies; data are included in higher level totals.N - Not available or not comparable.S - Estimate does not meet publication standards because of high sampling variability, poor response quality, or other concerns about the estimate quality. Unpublished estimates derived from this table by subtraction are subject to these same limitations and should not be attributed to the U.S. Census Bureau. For a description of publication standards and the total quantity response rate, see link to program methodology page..X - Not applicable.A - Relative standard error of 100% or more.r - Revised.s - Relative standard error exceeds 40%.For a complete list of symbols, see Economic Census: Technical Documentation: Data Dictionary.. .Source:.U.S. Census Bureau, 2017 Economic Census.For information about the economic census, see Business and Economy: Economic Census...Contact Information:.U.S. Census Bureau.For general inquiries:. (800) 242-2184/ (301) 763-5154. ewd.outreach@census.gov.For specific data questions:. (800) 541-8345.For additional contacts, see Economic Census: About: Contact Us.

Envestnet®| Yodlee®'s Travel Transaction Data (Aggregate/Row) Panels consist of de-identified, near-real time (T+1) USA credit/debit/ACH transaction level data – offering a wide view of the consumer activity ecosystem. The underlying data is sourced from end users leveraging the aggregation portion of the Envestnet®| Yodlee®'s financial technology platform.

Envestnet | Yodlee Consumer Panels (Aggregate/Row) include data relating to millions of transactions, including ticket size and merchant location. The dataset includes de-identified credit/debit card and bank transactions (such as a payroll deposit, account transfer, or mortgage payment). Our coverage offers insights into areas such as consumer, TMT, energy, REITs, internet, utilities, ecommerce, MBS, CMBS, equities, credit, commodities, FX, and corporate activity. We apply rigorous data science practices to deliver key KPIs daily that are focused, relevant, and ready to put into production.

We offer free trials. Our team is available to provide support for loading, validation, sample scripts, or other services you may need to generate insights from our data.

Investors, corporate researchers, and corporates can use our data to answer some key business questions such as: - How much are consumers spending with specific merchants/brands and how is that changing over time? - Is the share of consumer spend at a specific merchant increasing or decreasing? - How are consumers reacting to new products or services launched by merchants? - For loyal customers, how is the share of spend changing over time? - What is the company’s market share in a region for similar customers? - Is the company’s loyal user base increasing or decreasing? - Is the lifetime customer value increasing or decreasing?

Additional Use Cases: - Use spending data to analyze sales/revenue broadly (sector-wide) or granular (company-specific). Historically, our tracked consumer spend has correlated above 85% with company-reported data from thousands of firms. Users can sort and filter by many metrics and KPIs, such as sales and transaction growth rates and online or offline transactions, as well as view customer behavior within a geographic market at a state or city level. - Reveal cohort consumer behavior to decipher long-term behavioral consumer spending shifts. Measure market share, wallet share, loyalty, consumer lifetime value, retention, demographics, and more.) - Study the effects of inflation rates via such metrics as increased total spend, ticket size, and number of transactions. - Seek out alpha-generating signals or manage your business strategically with essential, aggregated transaction and spending data analytics.

Use Cases Categories (Our data provides an innumerable amount of use cases, and we look forward to working with new ones): 1. Market Research: Company Analysis, Company Valuation, Competitive Intelligence, Competitor Analysis, Competitor Analytics, Competitor Insights, Customer Data Enrichment, Customer Data Insights, Customer Data Intelligence, Demand Forecasting, Ecommerce Intelligence, Employee Pay Strategy, Employment Analytics, Job Income Analysis, Job Market Pricing, Marketing, Marketing Data Enrichment, Marketing Intelligence, Marketing Strategy, Payment History Analytics, Price Analysis, Pricing Analytics, Retail, Retail Analytics, Retail Intelligence, Retail POS Data Analysis, and Salary Benchmarking

1. Investment Research: Financial Services, Hedge Funds, Investing, Mergers & Acquisitions (M&A), Stock Picking, Venture Capital (VC)

2. Consumer Analysis: Consumer Data Enrichment, Consumer Intelligence

3. Market Data: AnalyticsB2C Data Enrichment, Bank Data Enrichment, Behavioral Analytics, Benchmarking, Customer Insights, Customer Intelligence, Data Enhancement, Data Enrichment, Data Intelligence, Data Modeling, Ecommerce Analysis, Ecommerce Data Enrichment, Economic Analysis, Financial Data Enrichment, Financial Intelligence, Local Economic Forecasting, Location-based Analytics, Market Analysis, Market Analytics, Market Intelligence, Market Potential Analysis, Market Research, Market Share Analysis, Sales, Sales Data Enrichment, Sales Enablement, Sales Insights, Sales Intelligence, Spending Analytics, Stock Market Predictions, and Trend Analysis

Key Table Information.Table Title.Selected Sectors: Employment Size of Establishments for the U.S.: 2022.Table ID.ECNSIZE2022.EC2200SIZEEMPEST.Survey/Program.Economic Census.Year.2022.Dataset.ECN Core Statistics Economic Census: Establishment and Firm Size Statistics for the U.S..Source.U.S. Census Bureau, 2022 Economic Census, Core Statistics.Release Date.2025-04-24.Release Schedule.The Economic Census occurs every five years, in years ending in 2 and 7.The data in this file come from the 2022 Economic Census data files released on a flow basis starting in January 2024 with First Look Statistics. Preliminary U.S. totals released in January 2024 are superseded with final data shown in the releases of later economic census statistics through March 2026.For more information about economic census planned data product releases, see 2022 Economic Census Release Schedule..Dataset Universe.The dataset universe consists of all establishments that are in operation for at least some part of 2022, are located in one of the 50 U.S. states, associated offshore areas, or the District of Columbia, have paid employees, and are classified in one of nineteen in-scope sectors defined by the 2022 North American Industry Classification System (NAICS)..Methodology.Data Items and Other Identifying Records.Number of firmsNumber of establishmentsSales, value of shipments, or revenue ($1,000)Annual payroll ($1,000)First-quarter payroll ($1,000)Number of employeesValue added ($1,000)Operating expenses ($1,000)Total inventories, beginning of year ($1,000)Total inventories, end of year ($1,000)Range indicating imputed percentage of total sales, value of shipments, or revenueRange indicating imputed percentage of total annual payrollRange indicating imputed percentage of total employeesDefinitions 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 economic census are employer establishments. An establishment is generally a single physical location where business is conducted or where services or industrial operations are performed. A company or firm is comprised of one or more in-scope establishments that operate under the ownership or control of a single organization. For some industries, the reporting units are instead groups of all establishments in the same industry belonging to the same firm..Geography Coverage.The data are shown for the U.S. levels only. For information about economic census geographies, including changes for 2022, see Geographies..Industry Coverage.The data are shown at the 2- through 6-digit 2022 NAICS code levels for all economic census sectors except Agriculture (11) and Management of Companies and Enterprises (55). For information about NAICS, see Economic Census Code Lists..Business Characteristics.For Wholesale Trade (42), data are presented by Type of Operation (All establishments; Merchant Wholesalers, except Manufacturers’ Sales Branches and Offices; and Manufacturers’ Sales Branches and Offices)..Sampling.The 2022 Economic Census sample includes all active operating establishments of multi-establishment firms and approximately 1.7 million single-establishment firms, stratified by industry and state. Establishments selected to the sample receive a questionnaire. For all data on this table, establishments not selected into the sample are represented with administrative data. For more information about the sample design, see 2022 Economic Census 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. 7504609, Disclosure Review Board (DRB) approval number: CBDRB-FY23-099).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 disclosure avoidance guidelines, data rows with fewer than three contributing firms or three contributing establishments are not presented. Additionally, establishment counts are suppressed when other select statistics in the same row are suppressed. More information on disclosure avoidance is available in the 2022 Economic Census Methodology..Technical Documentation/Methodology.For detailed information about the methods used to collect data and produce statistics, survey questionnaires, Primary Business Activity/NAICS codes, NAPCS codes, and more, see Economic Census Technical Documentation..Weights.No weighting applied as establishments not sampled are represented with administrative data..Table Information.FTP Download.https://www2.census.gov/programs-surveys/economic-census/data/2022/sector00/.API Information.Economic census data are housed in the Census Bureau Application Programming Interface (API)..Symbols.D - Withheld to avoid disclosing data for individual companies; data are included in higher level totalsN - Not available or ...

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 ...

Success.ai’s B2B Contact Data and Ecommerce Merchant Data for Retail Executives Worldwide provides a powerful solution for businesses looking to connect with decision-makers in the retail industry. With access to over 170 million verified professional profiles, this dataset includes the contact information you need to build relationships with retail executives globally. Whether you're targeting C-level leaders, operations managers, or marketing heads, Success.ai’s data ensures precise and impactful outreach.

Why Choose Success.ai’s Retail Executives Data?

1. Comprehensive Contact Information:
2. Gain access to verified work emails, direct phone numbers, and LinkedIn profiles of retail executives worldwide.

3. Data is AI-validated to ensure 99% accuracy for all your outreach efforts.

4. Global Reach Across Retail Sectors:

5. Includes executives from sectors like e-commerce, fashion, grocery, electronics, and luxury goods.

6. Covers regions such as North America, Europe, Asia-Pacific, South America, and the Middle East.

7. Continuously Updated Datasets:

8. Real-time updates ensure accurate and current information about retail professionals in leadership roles.

9. Compliance You Can Trust:

10. Fully adheres to GDPR, CCPA, and other global privacy regulations, ensuring ethical data use.

Data Highlights: - 170M+ Verified Professional Profiles: Drawn from diverse industries, including retail. - 50M Work Emails: AI-validated for high accuracy and reliability. - 30M Company Profiles: Detailed insights to support targeted campaigns. - 700M Global Professional Profiles: Enriched datasets to meet broad business objectives.

Key Features of the Dataset: - Retail Decision-Maker Profiles: Includes profiles of CEOs, CFOs, CMOs, buyers, and merchandising directors. - Advanced Filters for Targeting: Refine your search by location, role, revenue, or retail category for optimal results. - AI-Driven Insights: Enriches profiles with valuable data to personalize and enhance your outreach.

Strategic Use Cases:

1. Sales Outreach and Business Growth:
2. Directly engage retail leaders with tailored pitches to introduce your products or services.

3. Build relationships with executives who influence major purchasing decisions.

4. Recruitment for Retail Talent:

5. Identify top retail professionals to fill critical leadership roles.

6. Connect with candidates using updated and accurate contact information.

7. Targeted Marketing Campaigns:

8. Craft highly personalized campaigns aimed at retail decision-makers.

9. Leverage detailed contact data for better conversion rates.

10. Retail Technology Solutions:

11. Present technology solutions like POS systems, inventory tools, or e-commerce platforms to relevant retail executives.

12. Build connections with leaders looking to innovate their businesses.

Why Choose Success.ai?

1. Best Price Guarantee: Access premium-quality contact data at competitive prices.
2. Seamless Integration: Download the dataset or integrate it via API for easy access.
3. AI-Validated Accuracy: Confidence in data quality with AI-driven validation for maximum reliability.
4. Customizable and Scalable Datasets: Filter datasets based on your specific industry, region, or executive role requirements.

APIs for Enhanced Functionality

1. Data Enrichment API: Add verified retail executive profiles to your CRM for better targeting.
2. Lead Generation API: Automate lead generation for retail-focused campaigns.

Unlock opportunities with B2B Contact Data for Retail Executives Worldwide from Success.ai. This dataset includes verified emails, phone numbers, and decision-maker profiles for leaders in the retail industry.

With continuously updated data and a Best Price Guarantee, Success.ai ensures you have everything you need to connect with global retail executives effectively. Contact us now to elevate your business with precise and reliable data!

No one beats us on price. Period.