Analysis of ‘Fortune 1000’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/winston56/fortune-500-data-2021 on 13 November 2021.

--- Dataset description provided by original source is as follows ---

Context

Every year Fortune, an American Business Magazine, publishes the Fortune 500, which ranks the top 500 corporations by revenue. This dataset includes the entire Fortune 1000, as opposed to just the top 500.

Content

The Fortune 1000 dataset is from the Fortune website, collected by the processes outlined in this notebook. It contains U.S. company data for the year 2021. The dataset is 1000 rows and 18 columns.

Features

• Company - values are the name of the company
• Rank - The 2021 rank established by Fortune (1-1000)
• Rank Change - The change in the rank from 2020 to 2021. There is only a rank change listed if the company is currently in the top 500 and was previously in the top 500.
• Revenue - Revenue of each company in millions. This is the criteria used to rank each company.
• Profit - Profit of each company in millions.
• Num. of Employees - The number of employees each company employs.
• Sector - The sector of the market the company operates in.
• City - The city where the company's headquarters is located.
• State - The state where the company's headquarters is located
• Newcomer - Indicates whether or not the company is new to the top Fortune 500 ("yes" or "no"). No value will be listed for companies outside of the top 500.
• CEO Founder - Indicates whether the CEO of the company is also the founder ("yes" or "no").
• CEO Woman - Indicates whether the CEO of the company is a woman ("yes" or "no").
• Profitable - Indicates whether the company is profitable or not ("yes" or "no").
• Prev. Rank - The 2020 rank of the company, as established by Fortune. There will only be previous rank data for the top 500 companies.
• CEO - The name of the CEO of the company
• Website - The url of the company website
• Ticker - The stock ticker symbol of public companies. Some rows will have empty values because the company is a private corporation.
• Market Cap - The market cap (or value) of the company in millions. Some rows will have empty values because the company is private. Market valuations were determined on January 20, 2021.

Inspiration

This dataset is made to explore the top corporations in the U.S. Answer questions such as: What percentage of companies have women ceo's? How many companies are newcomers? What percentage of companies have ceos who were also founders? What role does profitability play in ranking?

--- Original source retains full ownership of the source dataset ---

Shark Tank India Data set.

Shark Tank India - Season 1 to season 4 information, with 80 fields/columns and 630+ records.

All seasons/episodes of 🦈 SHARKTANK INDIA 🇮🇳 were broadcasted on SonyLiv OTT/Sony TV.

Here is the data dictionary for (Indian) Shark Tank season's dataset.

• Season Number - Season number
• Startup Name - Company name or product name
• Episode Number - Episode number within the season
• Pitch Number - Overall pitch number
• Season Start - Season first aired date
• Season End - Season last aired date
• Original Air Date - Episode original/first aired date, on OTT/TV
• Episode Title - Episode title in SonyLiv
• Anchor - Name of the episode presenter/host
• Industry - Industry name or type
• Business Description - Business Description
• Company Website - Company Website URL
• Started in - Year in which startup was started/incorporated
• Number of Presenters - Number of presenters
• Male Presenters - Number of male presenters
• Female Presenters - Number of female presenters
• Transgender Presenters - Number of transgender/LGBTQ presenters
• Couple Presenters - Are presenters wife/husband ? 1-yes, 0-no
• Pitchers Average Age - All pitchers average age, <30 young, 30-50 middle, >50 old
• Pitchers City - Presenter's town/city or place where company head office exists
• Pitchers State - Indian state pitcher hails from or state where company head office exists
• Yearly Revenue - Yearly revenue, in lakhs INR, -1 means negative revenue, 0 means pre-revenue
• Monthly Sales - Total monthly sales, in lakhs
• Gross Margin - Gross margin/profit of company, in percentages
• Net Margin - Net margin/profit of company, in percentages
• EBITDA - Earnings Before Interest, Taxes, Depreciation, and Amortization
• Cash Burn - In loss in current year; burning/paying money from their pocket (yes/no)
• SKUs - Stock Keeping Units or number of varieties, at the time of pitch
• Has Patents - Pitcher has Patents/Intellectual property (filed/granted), at the time of pitch
• Bootstrapped - Startup is bootstrapped or not (yes/no)
• Part of Match off - Competition between two similar brands, pitched at same time
• Original Ask Amount - Original Ask Amount, in lakhs INR
• Original Offered Equity - Original Offered Equity, in percentages
• Valuation Requested - Valuation Requested, in lakhs INR
• Received Offer - Received offer or not, 1-received, 0-not received
• Accepted Offer - Accepted offer or not, 1-accepted, 0-rejected
• Total Deal Amount - Total Deal Amount, in lakhs INR
• Total Deal Equity - Total Deal Equity, in percentages
• Total Deal Debt - Total Deal debt/loan amount, in lakhs INR
• Debt Interest - Debt interest rate, in percentages
• Deal Valuation - Deal Valuation, in lakhs INR
• Number of sharks in deal - Number of sharks involved in deal
• Deal has conditions - Deal has conditions or not? (yes or no)
• Royalty Percentage - Royalty percentage, if it's royalty deal
• Royalty Recouped Amount - Royalty recouped amount, if it's royalty deal, in lakhs
• Advisory Shares Equity - Deal with Advisory shares or equity, in percentages
• Namita Investment Amount - Namita Investment Amount, in lakhs INR
• Namita Investment Equity - Namita Investment Equity, in percentages
• Namita Debt Amount - Namita Debt Amount, in lakhs INR
• Vineeta Investment Amount - Vineeta Investment Amount, in lakhs INR
• Vineeta Investment Equity - Vineeta Investment Equity, in percentages
• Vineeta Debt Amount - Vineeta Debt Amount, in lakhs INR
• Anupam Investment Amount - Anupam Investment Amount, in lakhs INR
• Anupam Investment Equity - Anupam Investment Equity, in percentages
• Anupam Debt Amount - Anupam Debt Amount, in lakhs INR
• Aman Investment Amount - Aman Investment Amount, in lakhs INR
• Aman Investment Equity - Aman Investment Equity, in percentages
• Aman Debt Amount - Aman Debt Amount, in lakhs INR
• Peyush Investment Amount - Peyush Investment Amount, in lakhs INR
• Peyush Investment Equity - Peyush Investment Equity, in percentages
• Peyush Debt Amount - Peyush Debt Amount, in lakhs INR
• Ritesh Investment Amount - Ritesh Investment Amount, in lakhs INR
• Ritesh Investment Equity - Ritesh Investment Equity, in percentages
• Ritesh Debt Amount - Ritesh Debt Amount, in lakhs INR
• Amit Investment Amount - Amit Investment Amount, in lakhs INR
• Amit Investment Equity - Amit Investment Equity, in percentages
• Amit Debt Amount - Amit Debt Amount, in lakhs INR
• Guest Investment Amount - Guest Investment Amount, in lakhs INR
• Guest Investment Equity - Guest Investment Equity, in percentages
• Guest Debt Amount - Guest Debt Amount, in lakhs INR
• Invested Guest Name - Name of the guest(s) who invested in deal
• All Guest Names - Name of all guests, who are present in episode
• Namita Present - Whether Namita present in episode or not
• Vineeta Present - Whether Vineeta present in episode or not
• Anupam ...

Success.ai’s Company Data Solutions provide businesses with powerful, enterprise-ready B2B company datasets, enabling you to unlock insights on over 28 million verified company profiles. Our solution is ideal for organizations seeking accurate and detailed B2B contact data, whether you’re targeting large enterprises, mid-sized businesses, or small business contact data.

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Company Name: Get the full legal name of the company. LinkedIn URL: Direct link to the company's LinkedIn profile. Company Domain: Website URL for more detailed research. Company Description: Overview of the company’s services and products. Company Location: Geographic location down to the city, state, and country. Company Industry: The sector or industry the company operates in. Employee Count: Number of employees to help identify company size. Technologies Used: Insights into key technologies employed by the company, valuable for tech-based outreach. Funding Information: Track total funding and the most recent funding dates for investment opportunities. Maximize Your Sales Potential: With Success.ai’s B2B contact data and company datasets, sales teams can build tailored lists of target accounts, identify decision-makers, and access real-time company intelligence. Our curated datasets ensure you’re always focused on high-value leads—those who are most likely to convert into clients. Whether you’re conducting account-based marketing (ABM), expanding your sales pipeline, or looking to improve your lead generation strategies, Success.ai offers the resources you need to scale your business efficiently.

Tailored for Your Industry: Success.ai serves multiple industries, including technology, healthcare, finance, manufacturing, and more. Our B2B marketing data solutions are particularly valuable for businesses looking to reach professionals in key sectors. You’ll also have access to small business contact data, perfect for reaching new markets or uncovering high-growth startups.

From UK B2B data to contacts across Europe and Asia, our datasets provide global coverage to expand your business reach and identify new markets. With continuous data updates, Success.ai ensures you’re always working with the freshest information.

Key Use Cases:

• Targeted Lead Generation: Build accurate lead lists by filtering data by company size, industry, or location. Target decision-makers in key industries to streamline your B2B sales outreach.
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• Investment Research: Track company growth, funding rounds, and employee trends to identify investment opportunities or potential M&A targets.
• Market Research: Enrich your market intelligence initiatives by gain...

B2B Company data encompasses vital information about businesses, including company name, industry, employees, revenue, website, and more. It provides valuable insights for market analysis, competitive intelligence, and strategic decision-making. Startup data, on the other hand, focuses specifically on emerging businesses, offering crucial details such as funding rounds, founder information, growth metrics, and market presence. Both types of data play a pivotal role in understanding the business landscape and identifying opportunities for growth and innovation.

Company data and startup data serve various specific use cases and applications:

1. Market Research for Investors: Investors use company data to identify promising startups in specific industries or regions, helping them make informed investment decisions.

2. Competitor Analysis for Incumbent Companies: Established companies leverage startup data to monitor emerging competitors and identify potential disruptions to their market share.

3. Partnership Opportunities: Startups use company data to identify potential partners or investors who align with their business goals and values.

4. Recruitment Strategies: Companies use startup data to target high-growth startups as potential sources of talent, offering opportunities for strategic partnerships or acquisitions.

5. Economic Development Initiatives: Governments and economic development agencies use company data to identify high-potential startups and provide support through grants, incentives, or incubator programs.

6. Risk Assessment for Service Providers: Service providers, such as financial institutions or insurance companies, use company data to assess the risk associated with serving startups as clients or partners.

7. Product Development Insights: Startups and established companies alike use company data to identify emerging trends and consumer preferences, informing product development strategies.

8. Marketing and Sales Targeting: Companies use company data to identify potential customers or partners based on specific criteria, such as industry, size, or geographic location, enabling targeted marketing and sales efforts.

9. Mergers and Acquisitions: Corporations use company data to identify potential acquisition targets or merger partners that align with their strategic objectives, helping them expand their market reach or diversify their product offerings.

10. Entrepreneurial Education: Educational institutions and entrepreneurship programs use company data to provide real-world examples and case studies for students, helping them understand the challenges and opportunities of starting and scaling a business.

Key features of using APISCRAPY for Company Data & Startup Data include:

Comprehensive Data Extraction: APISCRAPY extracts a wide range of data points, including company name, industry, employees, revenue, website, funding rounds, and founder information.

High Accuracy: Our advanced scraping technology ensures the accuracy and reliability of the extracted data, enabling confident decision-making.

Real-Time Updates: Stay ahead of the competition with real-time data updates, providing the latest insights into the dynamic business landscape

Customized Solutions: Tailored to your specific needs, APISCRAPY offers customized scraping solutions to extract the exact data points you require for your analysis.

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Fast Turnaround Time: Benefit from quick turnaround times, allowing you to access the data you need promptly for strategic decision-making.

Diverse Data Sources: APISCRAPY accesses data from a variety of sources, ensuring comprehensive coverage and providing a holistic view of the market.

Secure Data Handling: We prioritize data security and confidentiality, ensuring that your sensitive information is handled with the utmost care and compliance with data protection regulations.

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Cost-Effective Solutions: APISCRAPY offers cost-effective solutions that provide maximum value for your investment, helping you achieve your business objectives efficiently and affordably.

[Related Tags: Company data, B2B Data, Company Datasets, Company Registry data, Private Company Data, Company Funding Data, Private Equity (PE) Funding Data, SIC Data Regulatory Company Data, Startup Data, Manufacturing Company Data, Venture Capital (VC) Funding Data, Company Financial Data, KYB Data, startup funding data, startup company address data, company owner data, company data scraping, company location API, company data API, startup data API, global startup database, B2b datasets, Firmographic data]

SharkTank dataset of Australia business reality television series.

Currently, the data set has information from SharkTank season 1 to Shark Tank Australia season 6. The dataset has 52 fields/columns and 275+ records.

Below are the features/fields in the dataset:

• Season Number - Season number
• Startup Name - Company name or product name or idea name
• Episode Number - Episode number within the season
• Pitch Number - Overall pitch number
• Season Start - Season first aired date
• Season End - Season last aired date
• Original Air Date - Episode original/first aired date, on OTT/TV
• Industry - Industry name or type
• Business Description - Business Description
• Company Website - Website of startup/company
• Pitchers Gender - Gender of pitchers
• Pitchers City - AU city of pitchers or place where company head office exists
• Pitchers State - AU state or country of pitchers, two letter shortcut of AU state where company head office exists
• Pitchers Average Age - Average age of all pitchers, <30 young, 30-50 middle, >50 old
• Entrepreneur Names - Pitcher names
• Multiple Entrepreneurs - Multiple entrepreneurs are present ? 1-yes, 0-no
• Viewers - Viewership in AU
• Original Ask Amount - Original Ask Amount, in AUD
• Original Offered Equity - Original Offered Equity, in percentages
• Valuation Requested - Valuation Requested, in AUD
• Received Offer - Received offer or not, 1-received, 0-not received
• Accepted Offer - Accepted offer or not, 1-accepted, 0-rejected
• Total Deal Amount - Total Deal Amount, in AUD, including debt/loan amount
• Total Deal Equity - Total Deal Equity, in percentages
• Deal Valuation - Deal Valuation, in AUD
• Number of Sharks in Deal - Number of sharks in deal
• Investment Amount Per Shark - Investment Amount Per Shark
• Equity Per Shark - Equity received by each Shark
• Royalty Deal - If Royalty deal, Royalty amount per item
• Advisory Shares Equity - Deal with Advisory shares or equity, in percentages
• Loan - Loan/debt (line of credit) amount given by sharks, in AUD
• Deal Has Conditions - Deal has conditions or not? (yes or no)
• Mentorship - Shark names who has offered mentorship
• Steve Investment Amount - Amount Invested by Steve
• Steve Investment Equity - Equity received by Steve
• Janine Investment Amount - Amount Invested by Janine
• Janine Investment Equity - Equity received by Janine
• Andrew Investment Amount - Amount Invested by Andrew
• Andrew Investment Equity - Equity received by Andrew
• Naomi Investment Amount - Amount Invested by Naomi
• Naomi Investment Equity - Equity received by Naomi
• Glen Investment Amount - Amount Invested by Glen
• Glen Investment Equity - Equity received by Glen
• Guest Investment Amount - Amount Invested by Guests
• Guest Investment Equity - Equity received by Guests
• Guest Name - Name of Guest shark(s), if invested in deal
• Steve Present - Whether Steve present in episode or not
• Janine Present - Whether Janine present in episode or not
• Andrew Present - Whether Andrew present in episode or not
• Naomi Present - Whether Naomi present in episode or not
• Glen Present - Whether Glen present in episode or not
• Guest Present - Whether Guest(s) present in episode or not

This dataset is designed for analyzing various product categories within the Japanese market. It provides information about each product category's size, growth rate, market share, competitor market shares, average price, customer demographics, online presence, and market saturation. Here's a breakdown of each column:

Product Category: The type of products or services being analyzed within the Japanese market.

Total Market Size (in USD): The estimated total market size in terms of US dollars for each product category. This figure reflects the overall revenue potential for that category.

Market Growth Rate (%): The projected annual growth rate of each product category's market. This percentage indicates how much the market is expected to expand or contract over time.

Market Share (%): The percentage of the total market size that each product category holds. This reflects the relative importance of each category within the overall market.

Competitor 1 Market Share (%): The market share percentage of the first major competitor within each product category. This helps to understand the competitive landscape.

Competitor 2 Market Share (%): The market share percentage of the second major competitor within each product category. Similar to the previous column, this provides insight into the competitive environment.

Average Price (in USD): The average price of products or services within each product category. This information helps understand the pricing dynamics of the category.

Customer Demographics: The primary target audience or customer segments for each product category. Understanding the demographics helps in tailoring marketing efforts.

Online Presence (%): The percentage of businesses within each product category that have an online presence. This includes websites, social media, and other digital platforms.

Market Saturation (%): An estimate of how much of the potential market demand has already been captured by existing products or services within each category. A higher percentage indicates a more saturated market.

Release Date: 2018-08-10.[NOTE: Includes firms with payroll at any time during 2016. Employment reflects the number of paid employees during the March 12 pay period. Data are based on Census administrative records, and the estimates of business ownership by gender, ethnicity, race, and veteran status are from the 2016 Annual Survey of Entrepreneurs. Detail may not add to total due to rounding or because a Hispanic firm may be of any race. Moreover, each owner had the option of selecting more than one race and therefore is included in each race selected. Respondent firms include all firms that responded to the characteristic(s) tabulated in this dataset and reported gender, ethnicity, race, or veteran status or that were publicly held or not classifiable by gender, ethnicity, race, or veteran status. Percentages are for respondent firms only and are not recalculated when the dataset is resorted. Percentages are always based on total reporting (defined above) within a gender, ethnicity, race, veteran status, and/or industry group for the characteristics tabulated in this dataset. Firms with more than one domestic establishment are counted in each geographic area and industry in which they operate, but only once in the U.S. and state totals for all sectors. For information on confidentiality protection, sampling error, nonsampling error, and definitions, see Survey Methodology.]..Table Name. . Statistics for U.S. Employer Firms That Had a Website by Sector, Gender, Ethnicity, Race, Veteran Status, and Years in Business for the U.S., States, and Top 50 MSAs: 2016. ..Release Schedule. . This file was released in August 2018.. ..Key Table Information. . These data are related to all other 2016 ASE files.. Refer to the Methodology section of the Annual Survey of Entrepreneurs website for additional information.. ..Universe. . The universe for the 2016 Annual Survey of Entrepreneurs (ASE) includes all U.S. firms with paid employees operating during 2016 with receipts of $1,000 or more which are classified in the North American Industry Classification System (NAICS) sectors 11 through 99, except for NAICS 111, 112, 482, 491, 521, 525, 813, 814, and 92 which are not covered. Firms with more than one domestic establishment are counted in each geographic area and industry in which they operate, but only once in the U.S. total.. In this file, "respondent firms" refers to all firms that reported gender, ethnicity, race, or veteran status for at least one owner or returned a survey form with at least one item completed and were publicly held or not classifiable by gender, ethnicity, race, and veteran status.. ..Geographic Coverage. . The data are shown for:. . United States. States and the District of Columbia. The fifty most populous metropolitan areas. . ..Industry Coverage. . The data are shown for the total of all sectors (00) and the 2-digit NAICS code level.. ..Data Items and Other Identifying Records. . Statistics for U.S. Employer Firms That Had a Website by Sector, Gender, Ethnicity, Race, Veteran Status, and Years in Business for the U.S., States, and Top 50 MSAs: 2016 contains data on:. . Number of firms with paid employees. Sales and receipts for firms with paid employees. Number of employees for firms with paid employees. Annual payroll for firms with paid employees. Percent of respondent firms with paid employees. Percent of sales and receipts of respondent firms with paid employees. Percent of number of employees of respondent firms with paid employees. Percent of annual payroll of respondent firms with paid employees. . The data are shown for:. . Gender, ethnicity, race and veteran status of respondent firms. . All firms. Female-owned. Male-owned. Equally male-/female-owned. Hispanic. Equally Hispanic/non-Hispanic. Non-Hispanic. White. Black or African American. American Indian and Alaska Native. Asian. Native Hawaiian and Other Pacific Islander. Some other race. Minority. Equally minority/nonminority. Nonminority. Veteran-owned. Equally veteran-/nonveteran-owned. Nonveteran-owned. All firms classifiable by gender, ethnicity, race, and veteran status. Publicly held and other firms not classifiable by gender, ethnicity, race, and veteran status. . . Years in business. . All firms. Firms less than 2 years in business. Firms with 2 to 3 years in business. Firms with 4 to 5 years in business. Firms with 6 to 10 years in business. Firms with 11 to 15 years in business. Firms with 16 or more years in busines...

Data on enterprise births, deaths, active enterprises and survival rates in Barnet, as well as comparative data across Greater London boroughs.

This data is adapted from data from the Office for National Statistics and published by the GLA licensed under the Open Government Licence.

Comparative data and other information can also be found on the London Datastore.

Data includes:
1) the most recent annual figures for enterprise births and deaths. Births and deaths are identified by comparing active populations of enterprises for different years
2) time series of the number of births and deaths of entrprises together with a percentage of births and deaths to active enterprises in a given year
3) a time series of the number of active enterprises. Active enterprises are businesses that had either turnover or employment at any time during the reference period.
4) survival rates of enterprises for up to 5 years after birth

Data on size of firms (micro-business, SME, large) for business and employees in London by industry can be found on the ONS website.

More Business Demographics data on the ONS website

A comprehensive dataset covering small business statistics in 2025, including failure rates, growth data, average revenue, number of employees, and market insights.

Companies’ attitudes towards online activities. Topics: company sells or purchases online and / or uses Electronic Data Interchange (EDI) type transactions; online selling of products or services using: own website or apps, small commercial platform, large commercial platform, EDI type transactions; percentage of the company´s online sales in 2014 coming from: country where company is located, other EU countries, countries outside the EU; countries in which online selling was available in 2014; percentage of the company´s non-online sales in 2014 coming from: country where company is located, other EU countries, countries outside the EU; considerations or attempts to sell online in other EU countries; companies already practicing online selling were asked: significance of each of the following difficulties regarding online selling to other EU countries: high delivery costs, expensiveness of guarantees and returns, ignorance of the applicable rules, insufficient security of payments from other countries, copyright reasons, complicated or costly foreign taxation, necessity to adapt product labeling, lack of language skills, restriction or interdiction by suppliers to sell abroad, interdiction by suppliers to use third platform for selling, request of suppliers to sell abroad at different prices, data protection issues, insufficient interoperability, specificity of products, slow internet connection of company or of customers, costs from resolving complaints and disputes cross-border; companies not yet practicing online selling were asked: significance of each of the following difficulties regarding online selling: lack of necessary digital skills, ignorance of the applicable rules, high delivery costs, expensiveness of guarantees and returns, restriction or interdiction by suppliers to sell online, higher prices imposed by suppliers for products sold online, interdiction by suppliers to use third platform for selling, risk of reduction in price for products sold online, risk of damaging image of company and trademarks, slow internet connection of the company. Demography: information about the company: number of employees, year of establishment, independent or part of national or international group, kind of sold products or services and target group; total turnover in 2014; development of turnover since January 2012; percentage of the value of sales in 2014 coming from online sales; percentage of the value of goods and services purchased online by the company in 2014. Additionally coded was: respondent ID; country; NACE-Code; company size; preferred language of the interview; nation group; weighting factor. Einstellungen von Unternehmen zu Online-Aktivitäten. Themen: Unternehmen verkauft oder tätigt Einkäufe online und / oder nutzt elektronischen Datenaustausch (Electronic Data Interchange (EDI)); Online-Verkauf von Produkten oder Dienstleistungen über: eigene Website oder Apps, kleine Handelsplattform, große Handelsplattform, Transaktionen mit elektronischem Datenaustausch; prozentualer Anteil der Online-Verkäufe aus den folgenden Ländern an den gesamten Online-Verkäufen im Jahr 2014: Land, in dem das Unternehmen ansässig ist, andere EU-Länder, Länder außerhalb der EU; Länder, in denen 2014 online verkauft wurde; prozentualer Anteil der herkömmlichen Verkäufe aus den folgenden Ländern am herkömmlichen Umsatz im Jahr 2014: Land, in dem das Unternehmen ansässig ist, andere EU-Länder, Länder außerhalb der EU; Überlegungen oder Versuche, online in anderen EU-Ländern zu verkaufen; Unternehmen, die bereits Online-Handel praktizieren, wurden gefragt: Bedeutung der einzelnen folgenden Schwierigkeiten beim Online-Verkauf in andere EU-Länder: hohe Lieferkosten, hohe Kosten für Garantien und Rücksendungen, Unkenntnis der einzuhaltenden Vorschriften, mangelnde Sicherheit von Zahlungen aus dem Ausland, Urheberrechtsgründe, komplizierte oder hohe Besteuerung im Ausland, Notwendigkeit zur Anpassung der Produktetikettierung, mangelnde Sprachkenntnisse, Beschränkung oder Verbot von Verkäufen ins Ausland durch die Zulieferer, Verbot zur Nutzung einer Plattform Dritter durch die Zulieferer, Anordnung der Zulieferer zum Verkauf im Ausland zu anderen Preisen, Datenschutzangelegenheiten, unzureichende Interoperabilität, Spezifizität der Produkte, langsame Internetverbindung des Unternehmens oder der Kunden, hohe Kosten bei der Klärung von Beschwerden oder Streitfällen über Landesgrenzen hinweg; Unternehmen, die bisher keinen Online-Handel praktizieren, wurden gefragt: Bedeutung der einzelnen folgenden Schwierigkeiten beim Online-Verkauf: Mangel der nötigen digitalen Kompetenzen, Unkenntnis der einzuhaltenden Vorschriften, hohe Lieferkosten, hohe Kosten für Garantien und Rücksendungen, Beschränkung oder Verbot des Online-Verkaufs durch die Zulieferer, höhere Preise der Zulieferer für online verkaufte Produkte, Verbot zur Nutzung einer Plattform Dritter durch die Zulieferer, Risiko des Preisverfalls online verkaufter Produkte, Risiko der Imageschädigung von Unternehmen und Marken, langsame Internetverbindung des Unternehmens. Demographie: Angaben zum Unternehmen: Anzahl der Mitarbeitenden, Gründungsjahr, unabhängig oder Teil eines nationalen oder internationalen Konzerns, Art der verkauften Produkte oder Dienstleistungen und Zielgruppe; Gesamtumsatz im Jahr 2014; Entwicklung des Umsatzes seit Januar 2012; prozentualer Anteil der Online-Verkäufe am Umsatz 2014; prozentualer Anteil des Online-Einkaufs am Gesamt-Einkauf 2014. Zusätzlich verkodet wurde: Befragten-ID; Land; NACE-Code; Unternehmensgröße; präferierte Interviewsprache; Nationengruppe; Gewichtungsfaktor.

Einstellungen von Unternehmen zu Online-Aktivitäten. Themen: Unternehmen verkauft oder tätigt Einkäufe online und / oder nutzt elektronischen Datenaustausch (Electronic Data Interchange (EDI)); Online-Verkauf von Produkten oder Dienstleistungen über: eigene Website oder Apps, kleine Handelsplattform, große Handelsplattform, Transaktionen mit elektronischem Datenaustausch; prozentualer Anteil der Online-Verkäufe aus den folgenden Ländern an den gesamten Online-Verkäufen im Jahr 2014: Land, in dem das Unternehmen ansässig ist, andere EU-Länder, Länder außerhalb der EU; Länder, in denen 2014 online verkauft wurde; prozentualer Anteil der herkömmlichen Verkäufe aus den folgenden Ländern am herkömmlichen Umsatz im Jahr 2014: Land, in dem das Unternehmen ansässig ist, andere EU-Länder, Länder außerhalb der EU; Überlegungen oder Versuche, online in anderen EU-Ländern zu verkaufen; Unternehmen, die bereits Online-Handel praktizieren, wurden gefragt: Bedeutung der einzelnen folgenden Schwierigkeiten beim Online-Verkauf in andere EU-Länder: hohe Lieferkosten, hohe Kosten für Garantien und Rücksendungen, Unkenntnis der einzuhaltenden Vorschriften, mangelnde Sicherheit von Zahlungen aus dem Ausland, Urheberrechtsgründe, komplizierte oder hohe Besteuerung im Ausland, Notwendigkeit zur Anpassung der Produktetikettierung, mangelnde Sprachkenntnisse, Beschränkung oder Verbot von Verkäufen ins Ausland durch die Zulieferer, Verbot zur Nutzung einer Plattform Dritter durch die Zulieferer, Anordnung der Zulieferer zum Verkauf im Ausland zu anderen Preisen, Datenschutzangelegenheiten, unzureichende Interoperabilität, Spezifizität der Produkte, langsame Internetverbindung des Unternehmens oder der Kunden, hohe Kosten bei der Klärung von Beschwerden oder Streitfällen über Landesgrenzen hinweg; Unternehmen, die bisher keinen Online-Handel praktizieren, wurden gefragt: Bedeutung der einzelnen folgenden Schwierigkeiten beim Online-Verkauf: Mangel der nötigen digitalen Kompetenzen, Unkenntnis der einzuhaltenden Vorschriften, hohe Lieferkosten, hohe Kosten für Garantien und Rücksendungen, Beschränkung oder Verbot des Online-Verkaufs durch die Zulieferer, höhere Preise der Zulieferer für online verkaufte Produkte, Verbot zur Nutzung einer Plattform Dritter durch die Zulieferer, Risiko des Preisverfalls online verkaufter Produkte, Risiko der Imageschädigung von Unternehmen und Marken, langsame Internetverbindung des Unternehmens. Demographie: Angaben zum Unternehmen: Anzahl der Mitarbeiter, Gründungsjahr, unabhängig oder Teil eines nationalen oder internationalen Konzerns, Art der verkauften Produkte oder Dienstleistungen und Zielgruppe; Gesamtumsatz im Jahr 2014; Entwicklung des Umsatzes seit Januar 2012; prozentualer Anteil der Online-Verkäufe am Umsatz 2014; prozentualer Anteil des Online-Einkaufs am Gesamt-Einkauf 2014. Zusätzlich verkodet wurde: Befragten-ID; Land; NACE-Code; Unternehmensgröße; präferierte Interviewsprache; Nationengruppe; Gewichtungsfaktor. Companies’ attitudes towards online activities. Topics: company sells or purchases online and / or uses Electronic Data Interchange (EDI) type transactions; online selling of products or services using: own website or apps, small commercial platform, large commercial platform, EDI type transactions; percentage of the company´s online sales in 2014 coming from: country where company is located, other EU countries, countries outside the EU; countries in which online selling was available in 2014; percentage of the company´s non-online sales in 2014 coming from: country where company is located, other EU countries, countries outside the EU; considerations or attempts to sell online in other EU countries; companies already practicing online selling were asked: significance of each of the following difficulties regarding online selling to other EU countries: high delivery costs, expensiveness of guarantees and returns, ignorance of the applicable rules, insufficient security of payments from other countries, copyright reasons, complicated or costly foreign taxation, necessity to adapt product labeling, lack of language skills, restriction or interdiction by suppliers to sell abroad, interdiction by suppliers to use third platform for selling, request of suppliers to sell abroad at different prices, data protection issues, insufficient interoperability, specificity of products, slow internet connection of company or of customers, costs from resolving complaints and disputes cross-border; companies not yet practicing online selling were asked: significance of each of the following difficulties regarding online selling: lack of necessary digital skills, ignorance of the applicable rules, high delivery costs, expensiveness of guarantees and returns, restriction or interdiction by suppliers to sell online, higher prices imposed by suppliers for products sold online, interdiction by suppliers to use third platform for selling, risk of reduction in price for products sold online, risk of damaging image of company and trademarks, slow internet connection of the company. Demography: information about the company: number of employees, year of establishment, independent or part of national or international group, kind of sold products or services and target group; total turnover in 2014; development of turnover since January 2012; percentage of the value of sales in 2014 coming from online sales; percentage of the value of goods and services purchased online by the company in 2014. Additionally coded was: respondent ID; country; NACE-Code; company size; preferred language of the interview; nation group; weighting factor.

Release Date: 2016-02-23.[NOTE: Includes firms with paid employees and firms with no paid employees. Data are based on the 2012 Economic Census, and the estimates of business ownership by gender, ethnicity, race, and veteran status are from the 2012 Survey of Business Owners. Detail may not add to total due to rounding or because a Hispanic firm may be of any race. Moreover, each owner had the option of selecting more than one race and therefore is included in each race selected. Respondent firms include all firms that responded to the characteristic(s) tabulated in this dataset and reported gender, ethnicity, race, or veteran status or that were publicly held or not classifiable by gender, ethnicity, race, and veteran status. Percentages are for respondent firms only and are not recalculated when the dataset is resorted. Percentages are always based on total reporting (defined above) within a gender, ethnicity, race, veteran status, and/or industry group for the characteristics tabulated in this dataset. Firms with more than one domestic establishment are counted in each geographic area and industry in which they operate, but only once in the U.S. and state totals for all sectors. For information on confidentiality protection, sampling error, nonsampling error, and definitions, see Survey Methodology.]..Table Name. . Statistics for All U.S. Firms That Had E-Commerce Sales by Industry, Gender, Ethnicity, Race, and Veteran Status for the U.S.: 2012. ..Release Schedule. . The data in this file was released in February 2016.. ..Key Table Information. . This data is related to all other 2012 SBO files.. Refer to the Methodology section of the Survey of Business Owners website for additional information.. ..Universe. . The universe for the 2012 Survey of Business Owners (SBO) includes all U.S. firms operating during 2012 with receipts of $1,000 or more which are classified in the North American Industry Classification System (NAICS) sectors 11 through 99, except for NAICS 111, 112, 482, 491, 521, 525, 813, 814, and 92 which are not covered. Firms with more than one domestic establishment are counted in each geographic area and industry in which they operate, but only once in the U.S. total.. In this file, "respondent firms" refers to all firms that reported gender, ethnicity, race, or veteran status for at least one owner or returned a survey form with at least one item completed and were publicly held or not classifiable by gender, ethnicity, race, and veteran status.. ..Geographic Coverage. . The data are shown at the U.S. level only.. ..Industry Coverage. . The data are shown for the total of all sectors (NAICS 00) and at the 2-digit NAICS code level.. ..Data Items and Other Identifying Records. . Statistics for All U.S. Firms That Had E-Commerce Sales by Industry, Gender, Ethnicity, Race, and Veteran Status for the U.S.: 2012 contains data on:. . Number of firms, firms with paid employees, and firms with no paid employees. Sales and receipts for all firms, firms with paid employees, and firms with no paid employees. Number of employees for firms with paid employees. Annual payroll for firms with paid employees. Percent of all respondent firms, respondent firms with paid employees, and respondent firms with no paid employees. Percent of sales and receipts of all respondent firms, respondent firms with paid employees, and respondent firms with no paid employees. Percent of number of employees of respondent firms with paid employees. Percent of annual payroll of respondent firms with paid employees. . The data are published by percent of total sales of goods and services that were from e-commerce in 2012 and by gender, ethnicity, race, and veteran status.. ..Sort Order. . Data are presented in ascending levels by:. . NAICS code (NAICS2012). Gender, ethnicity, race, and veteran status (CBGROUP). Percent of total sales of goods and services that were from e-commerce in 2012 (PECOMMRC). . The data are sorted on underlying control field values, so control fields may not appear in alphabetical order.. ..FTP Download. . Download the entire SB1200CSCB55 table at: https://www2.census.gov/programs-surveys/sbo/data/2012/SB1200CSCB55.zip. ..Contact Information. . To contact the Survey of Business Owners staff:. . Visit the website at www.census.gov/programs-surveys/sbo.html.. Email general, nonsecure, and unencrypted messages to ewd.survey.of.business.owners@census.gov.. Call 301.763.3316 between 7 a.m. and 5 p.m. (EST), Monday through Friday.. Write to:. U.S. Census Bureau. Survey of Business Owners. 4600 Silver Hill Road. Washington, DC 20233. . . ...Source: U.S. Census Bureau, 2012 Survey of Business Owners.Note: The data in this file are based on the 2012 Eco...

In 2023, Meta Platforms had a total annual revenue of over 134 billion U.S. dollars, up from 116 billion in 2022. LinkedIn reported its highest annual revenue to date, generating over 15 billion USD, whilst Snapchat reported an annual revenue of 4.6 billion USD.

description: The mission of the Office of Small and Disadvantaged Business Utilization (OSDBU) is to implement and execute the functions and duties of Section 8 and 15 of the Small Business Act (SBAct). Section 15 states that a fair proportion of the total purchases and contracts for property and services for the Government are to be placed with small business concerns. The implementation and execution of Section 8 and 15 of the SBAct are demonstrated and measured by the Departmenta?Ts ability to work towards exceeding statutory prime, sub and socio-economic small business goals, providing education on the management & operations business model, continuous improvement of best practices such as the Mentor-ProtACgAC Program, providing information on financial assistance opportunities, providing training to small businesses, participating and conducting outreach events for small businesses, ensuring compliance with Federal Acquisition Regulations and other applicable small business laws and regulations, issuing new small business policies and updating existing small business policies at the Department.; abstract: The mission of the Office of Small and Disadvantaged Business Utilization (OSDBU) is to implement and execute the functions and duties of Section 8 and 15 of the Small Business Act (SBAct). Section 15 states that a fair proportion of the total purchases and contracts for property and services for the Government are to be placed with small business concerns. The implementation and execution of Section 8 and 15 of the SBAct are demonstrated and measured by the Departmenta?Ts ability to work towards exceeding statutory prime, sub and socio-economic small business goals, providing education on the management & operations business model, continuous improvement of best practices such as the Mentor-ProtACgAC Program, providing information on financial assistance opportunities, providing training to small businesses, participating and conducting outreach events for small businesses, ensuring compliance with Federal Acquisition Regulations and other applicable small business laws and regulations, issuing new small business policies and updating existing small business policies at the Department.

Attitudes of companies towards e-commerce. Topics: internet connection of the company; availability of a company website; possibility to make orders via the company’s website; sales through electronic market places; percentage of the total sales coming from internet sales; purchase of supplies via the internet; purchase of supplies via electronic market places; percentage of total supplies currently purchased on the internet; experienced problems with regard to electronic sales and purchases in the last six months: viruses, illegal access, denial of service, defacement of web server, ID theft, occupation of domain name; measures taken to protect company against security problems: firewall, virus scanner, intrusion detection, SSL server site. Demography: information about the company: number of employees in the own country, company size; position of respondent at the company; company sector; turnover of the company in the own country. Additionally coded was: country; SIC-Code; NACE-Code; weighting factor. Einstellung zu und Gebrauch von E-Commerce bei Unternehmen. Themen: Internetanschluss und Internetpräsenz des Betriebes; Bestellmöglichkeiten auf der Internetseite; Verkauf von Produkten und Serviceangeboten über das Internet; Anteil der Verkaufsabschlüsse über das Internet; eigener Einkauf über das Internet; Anteil der eigenen Einkäufe über das Internet; Probleme bei den Verkaufs- und Einkaufsabwicklungen über das Internet (Viren, illegale Zugriffe, Angriffe auf die Webpräsenz); Maßnahmen gegen Sicherheitsprobleme. Demographie: Angaben zum Unternehmen: Anzahl der Mitarbeiter im eigenen Land, Unternehmensgröße; Position des Befragten im Unternehmen; Branche; Jahresumsatz des Unternehmens im letzten Jahr. Zusätzlich verkodet wurde: Land; SIC-Code; NACE-Code; Gewichtungsfaktor.

This dataset is published as Open Data and is also available from the Stirling Council website.Non-domestic rates, also called business rates, are a property tax which help pay for local council services. The Scottish Government sets non-domestic rates.Councils administer and collect rates. The rates are based on: The value of your property (rateable value) - set by independent assessors - multiplied by A national poundage, a rate that is the ‘pence per £1 of rateable value’ to be paid - set annually by the Scottish Government, minus Any rates relief (discounts) your property is in receipt of – for example because it is used for charitable purposes or is in a rural area You can find out the rateable value for any rated non-domestic property at the Scottish Assessors website. Use the non-domestic rates calculator on the mygov.scot website to estimate your rates bill. You can also find out about any relief (discounts) your property may be eligible for.

Release Date: 2016-02-23.[NOTE: Includes firms with payroll at any time during 2012. Employment reflects the number of paid employees during the March 12 pay period. Data are based on the 2012 Economic Census, and the estimates of business ownership by gender, ethnicity, race, and veteran status are from the 2012 Survey of Business Owners. Detail may not add to total due to rounding or because a Hispanic firm may be of any race. Moreover, each owner had the option of selecting more than one race and therefore is included in each race selected. Respondent firms include all firms that responded to the characteristic(s) tabulated in this dataset and reported gender, ethnicity, race, or veteran status or that were publicly held or not classifiable by gender, ethnicity, race, and veteran status. Percentages are for respondent firms only and are not recalculated when the dataset is resorted. Percentages are always based on total reporting (defined above) within a gender, ethnicity, race, veteran status, and/or employment size group for the characteristics tabulated in this dataset. Firms with more than one domestic establishment are counted in each geographic area and industry in which they operate, but only once in the U.S. and state totals for all sectors. For information on confidentiality protection, sampling error, nonsampling error, and definitions, see Survey Methodology.]..Table Name. . Statistics for All U.S. Firms With Paid Employees by Percent of Total Sales of Goods/Services Exported Outside the United States by Employment Size of Firm, Gender, Ethnicity, Race, and Veteran Status for the U.S.: 2012. ..Release Schedule. . The data in this file was released in February 2016.. ..Key Table Information. . This data is related to all other 2012 SBO files.. Refer to the Methodology section of the Survey of Business Owners website for additional information.. ..Universe. . The universe for the 2012 Survey of Business Owners (SBO) includes all U.S. firms operating during 2012 with receipts of $1,000 or more which are classified in the North American Industry Classification System (NAICS) sectors 11 through 99, except for NAICS 111, 112, 482, 491, 521, 525, 813, 814, and 92 which are not covered. Firms with more than one domestic establishment are counted in each geographic area and industry in which they operate, but only once in the U.S. total.. In this file, "respondent firms" refers to all firms that reported gender, ethnicity, race, or veteran status for at least one owner or returned a survey form with at least one item completed and were publicly held or not classifiable by gender, ethnicity, race, and veteran status.. ..Geographic Coverage. . The data are shown at the U.S. level only.. ..Industry Coverage. . The data are shown for the total of all sectors (NAICS 00).. ..Data Items and Other Identifying Records. . Statistics for All U.S. Firms With Paid Employees by Percent of Total Sales of Goods/Services Exported Outside the United States by Employment Size of Firm, Gender, Ethnicity, Race, and Veteran Status for the U.S.: 2012 contains data on:. . Number of firms with paid employees. Sales and receipts for firms with paid employees. Number of employees for firms with paid employees. Annual payroll for firms with paid employees. Percent of respondent firms with paid employees. Percent of sales and receipts of respondent firms with paid employees. Percent of number of employees of respondent firms with paid employees. Percent of annual payroll of respondent firms with paid employees. . The data are published by percent of total sales of goods and services that were exported outside the U.S. in 2012 and employment size of firm and by gender, ethnicity, race, and veteran status.. ..Sort Order. . Data are presented in ascending levels by:. . Gender, ethnicity, race, and veteran status (CBGROUP). Employment size of firm (EMPSZFI). Percent of total sales of goods and services that were exported outside the U.S. in 2012 (PEXPORT). . The data are sorted on underlying control field values, so control fields may not appear in alphabetical order.. ..FTP Download. . Download the entire SB1200CSCB36 table at: https://www2.census.gov/programs-surveys/sbo/data/2012/SB1200CSCB36.zip. ..Contact Information. . To contact the Survey of Business Owners staff:. . Visit the website at www.census.gov/programs-surveys/sbo.html.. Email general, nonsecure, and unencrypted messages to ewd.survey.of.business.owners@census.gov.. Call 301.763.3316 between 7 a.m. and 5 p.m. (EST), Monday through Friday.. Write to:. U.S. Census Bureau. Survey of Business Owners. 4600 Silver Hill Road. Washington, DC 20233. . . ...Source: U.S. Census Bureau, 2012 Survey of Business Owners.Not...

As of April 2024, almost 32 percent of global Instagram audiences were aged between 18 and 24 years, and 30.6 percent of users were aged between 25 and 34 years. Overall, 16 percent of users belonged to the 35 to 44 year age group.

              Instagram users

              With roughly one billion monthly active users, Instagram belongs to the most popular social networks worldwide. The social photo sharing app is especially popular in India and in the United States, which have respectively 362.9 million and 169.7 million Instagram users each.

              Instagram features

              One of the most popular features of Instagram is Stories. Users can post photos and videos to their Stories stream and the content is live for others to view for 24 hours before it disappears. In January 2019, the company reported that there were 500 million daily active Instagram Stories users. Instagram Stories directly competes with Snapchat, another photo sharing app that initially became famous due to it’s “vanishing photos” feature.
              As of the second quarter of 2021, Snapchat had 293 million daily active users.

How much time do people spend on social media?

              As of 2024, the average daily social media usage of internet users worldwide amounted to 143 minutes per day, down from 151 minutes in the previous year. Currently, the country with the most time spent on social media per day is Brazil, with online users spending an average of three hours and 49 minutes on social media each day. In comparison, the daily time spent with social media in
              the U.S. was just two hours and 16 minutes. Global social media usageCurrently, the global social network penetration rate is 62.3 percent. Northern Europe had an 81.7 percent social media penetration rate, topping the ranking of global social media usage by region. Eastern and Middle Africa closed the ranking with 10.1 and 9.6 percent usage reach, respectively.
              People access social media for a variety of reasons. Users like to find funny or entertaining content and enjoy sharing photos and videos with friends, but mainly use social media to stay in touch with current events friends. Global impact of social mediaSocial media has a wide-reaching and significant impact on not only online activities but also offline behavior and life in general.
              During a global online user survey in February 2019, a significant share of respondents stated that social media had increased their access to information, ease of communication, and freedom of expression. On the flip side, respondents also felt that social media had worsened their personal privacy, increased a polarization in politics and heightened everyday distractions.

Cristiano Ronaldo has one of the most popular Instagram accounts as of April 2024.

              The Portuguese footballer is the most-followed person on the photo sharing app platform with 628 million followers. Instagram's own account was ranked first with roughly 672 million followers.

              How popular is Instagram?

              Instagram is a photo-sharing social networking service that enables users to take pictures and edit them with filters. The platform allows users to post and share their images online and directly with their friends and followers on the social network. The cross-platform app reached one billion monthly active users in mid-2018. In 2020, there were over 114 million Instagram users in the United States and experts project this figure to surpass 127 million users in 2023.

              Who uses Instagram?

              Instagram audiences are predominantly young – recent data states that almost 60 percent of U.S. Instagram users are aged 34 years or younger. Fall 2020 data reveals that Instagram is also one of the most popular social media for teens and one of the social networks with the biggest reach among teens in the United States.

              Celebrity influencers on Instagram
              Many celebrities and athletes are brand spokespeople and generate additional income with social media advertising and sponsored content. Unsurprisingly, Ronaldo ranked first again, as the average media value of one of his Instagram posts was 985,441 U.S. dollars.