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Summary statistics of business dynamism taken from the Longitudinal Business Database (LBD), UK.
County Business Patterns (CBP) is an annual series that provides economic data by industry at the U.S., State, County and Metropolitan Area levels. This series includes the number of establishments, employment during the week of March 12, first quarter payroll, and annual payroll. CBP provides statistics for businesses with paid employees for the U.S., Puerto Rico, and the Island Areas. Census Bureau staff identified a processing error that affects selected data from the 2014 County Business Patterns (CBP). As a result, we suppressed 2014 employment and payroll totals in the Health Care and Social Assistance sector (Sector 62) for the following geographies: U.S.; Michigan; Battle Creek, MI metro area; Calhoun County, MI; and the 3rd congressional district of Michigan. This processing error did not affect other sectors. While suppressed values can be derived by subtraction, we do not recommend using the derived values in any analyses. The Census Bureau plans to release revised statistics at a later date.
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CZ: Start-Up Procedures to Register a Business: Female data was reported at 9.000 Number in 2019. This stayed constant from the previous number of 9.000 Number for 2018. CZ: Start-Up Procedures to Register a Business: Female data is updated yearly, averaging 9.000 Number from Dec 2003 (Median) to 2019, with 17 observations. The data reached an all-time high of 10.000 Number in 2007 and a record low of 8.000 Number in 2017. CZ: Start-Up Procedures to Register a Business: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Czech Republic – Table CZ.World Bank.WDI: Company Statistics. Start-up procedures are those required to start a business, including interactions to obtain necessary permits and licenses and to complete all inscriptions, verifications, and notifications to start operations. Data are for businesses with specific characteristics of ownership, size, and type of production.;World Bank, Doing Business project (http://www.doingbusiness.org/). NOTE: Doing Business has been discontinued as of 9/16/2021. For more information: https://bit.ly/3CLCbme;Unweighted average;Data are presented for the survey year instead of publication year.
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Uzbekistan UZ: Start-Up Procedures to Register a Business: Male data was reported at 3.000 Number in 2017. This records a decrease from the previous number of 4.000 Number for 2016. Uzbekistan UZ: Start-Up Procedures to Register a Business: Male data is updated yearly, averaging 9.000 Number from Dec 2003 (Median) to 2017, with 15 observations. The data reached an all-time high of 10.000 Number in 2006 and a record low of 3.000 Number in 2017. Uzbekistan UZ: Start-Up Procedures to Register a Business: Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Uzbekistan – Table UZ.World Bank.WDI: Company Statistics. Start-up procedures are those required to start a business, including interactions to obtain necessary permits and licenses and to complete all inscriptions, verifications, and notifications to start operations. Data are for businesses with specific characteristics of ownership, size, and type of production.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; Unweighted average; Data are presented for the survey year instead of publication year.
Listing of all (active and inactive) businesses registered with the Office of Finance. An "active" business is defined as a registered business whose owner has not notified the Office of Finance of a cease of business operations. Update Interval: Monthly. NAICS Codes are from 2007 NAICS: https://www.census.gov/cgi-bin/sssd/naics/naicsrch?chart=2007
This statistic shows the types of data that organizations protect by using data backups worldwide as of 2019. Around 91 percent of respondents stated that they used backups to protect their business' databases, while only 16 percent stated that they used backups to protect their SaaS data.
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DE: Private Credit Bureau Coverage: % of Adults data was reported at 100.000 % in 2019. This stayed constant from the previous number of 100.000 % for 2018. DE: Private Credit Bureau Coverage: % of Adults data is updated yearly, averaging 100.000 % from Dec 2004 (Median) to 2019, with 16 observations. The data reached an all-time high of 100.000 % in 2019 and a record low of 85.600 % in 2004. DE: Private Credit Bureau Coverage: % of Adults data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Germany – Table DE.World Bank.WDI: Businesses Registered Statistics. Private credit bureau coverage reports the number of individuals or firms listed by a private credit bureau with current information on repayment history, unpaid debts, or credit outstanding. The number is expressed as a percentage of the adult population.;World Bank, Doing Business project (http://www.doingbusiness.org/). NOTE: Doing Business has been discontinued as of 9/16/2021. For more information: https://bit.ly/3CLCbme;Unweighted average;Data are presented for the survey year instead of publication year.
This table contains 2736 series, with data starting from 2001 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada) Business dynamics measure (16 items: Number of active employer businesses in the private sector; Number of entrants; Number of incumbents; Number of exits; ...) North American Industry Classification System (NAICS) (19 items: Private sector; Agriculture, forestry, fishing and hunting; Mining, quarrying, and oil and gas extraction; Utilities; ...) Firm size (9 items: Private sector; From 0 to less than 100 employees; From 0 to less than 50 employees; Less than 5 employees; ...).
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Provide the latest monthly information on pre-concluded cases, newly received cases, pending cases, and review results of appeals cases regarding trademark law (including trademark registration, opposition, invalidation, determination, etc.), patent law (including patent application, opposition, disclosure, etc.), and other economic regulations (including international trade, business registration, commodity inspection, mining law, water law, company law, electronic gaming industry, etc.).
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The Business Dynamics Statistics (BDS) includes measures of establishment openings and closings, firm startups, job creation and destruction by firm size, age, and industrial sector, and several other statistics on business dynamics. The U.S. economy is comprised of over 6 million establishments with paid employees. The population of these businesses is constantly churning -- some businesses grow, others decline and yet others close. New businesses are constantly replenishing this pool. The BDS series provide annual statistics on gross job gains and losses for the entire economy and by industrial sector, state, and MSA. These data track changes in employment at the establishment level, and thus provide a picture of the dynamics underlying aggregate net employment growth.
There is a longstanding interest in the contribution of small businesses to job and productivity growth in the U.S. Some recent research suggests that it is business age rather than size that is the critical factor. The BDS permits exploring the respective contributions of both firm age and size.
BDS is based on data going back through 1976. This allows business dynamics to be tracked, measured and analyzed for young firms in their first critical years as well as for more mature firms including those that are in the process of reinventing themselves in an ever changing economic environment.
If you need help understanding the terms used, check out these definitions.
Key | List of... | Comment | Example Value |
---|---|---|---|
State | String | The state that this report was made for (full name, not the two letter abbreviation). | "Alabama" |
Year | Integer | The year that this report was made for. | 1978 |
Data.DHS Denominator | Integer | The Davis-Haltiwanger-Schuh (DHS) denominator is the two-period trailing moving average of employment, intended to prevent transitory shocks from distorting net growth. In other words, this value roughly represents the employment for the area, but is resistant to sudden, spiking growth. | 972627 |
Data.Number of Firms | Integer | The number of firms in this state during this year. | 54597 |
Data.Calculated.Net Job Creation | Integer | The sum of the Job Creation Rate minus the Job Destruction Rate. | 74178 |
Data.Calculated.Net Job Creation Rate | Float | The sum of the Job Creation Rate and the Job Destruction Rate, minus the Net Job Creation Rate. | 7.627 |
Data.Calculated.Reallocation Rate | Float | The sum of the Job Creation Rate and the Job Destruction Rate, minus the absolute Net Job Creation Rate. | 29.183 |
Data.Establishments.Entered | Integer | The number of establishments that entered during this time. Entering occurs when an establishment did not exist in the previous year. | 10457 |
Data.Establishments.Entered Rate | Float | The number of establishments that entered during this time divided by the number of establishments. Entering occurs when an establishment did not exist in the previous year. | 16.375 |
Data.Establishments.Exited | Integer | The number of establishments that exited during this time. Exiting occurs when an establishment has positive employment in the previous year and zero this year. | 7749 |
Data.Establishments.Exited Rate | Float | The number of establishments that exited during this time divided by the number of establishments. Exiting occurs when an establishment has positive employment in the previous year and zero this year. | 12.135 |
Data.Establishments.Physical Locations | Integer | The number of establishments in this region during this time. | 65213 |
Data.Firm Exits.Count | Integer | The number of firms that exited this year. | 5248 |
Data.Firm Exits.Establishment Exit | Integer | The number of establishments exited because of firm deaths. | 5329 |
Data... |
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Graph and download economic data for Business Sector: Employment for All Workers (PRS84006012) from Q2 1947 to Q1 2025 about productivity, sector, business, employment, rate, and USA.
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IPA06 - Structural Business Statistics. Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Structural Business Statistics...
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In 2023, the global Big Data and Business Analytics market size is estimated to be valued at approximately $274 billion, and with a projected compound annual growth rate (CAGR) of 12.4%, it is anticipated to reach around $693 billion by 2032. This significant growth is driven by the escalating demand for data-driven decision-making processes across various industries, which leverage insights derived from vast data sets to enhance business efficiency, optimize operations, and drive innovation. The increasing adoption of Internet of Things (IoT) devices, coupled with the exponential growth of data generated daily, further propels the need for advanced analytics solutions to harness and interpret this information effectively.
A critical growth factor in the Big Data and Business Analytics market is the increasing reliance on data to gain a competitive edge. Organizations are now more than ever looking to uncover hidden patterns, correlations, and insights from the data they collect to make informed decisions. This trend is especially prominent in industries such as retail, where understanding consumer behavior can lead to personalized marketing strategies, and in healthcare, where data analytics can improve patient outcomes through precision medicine. Moreover, the integration of big data analytics with artificial intelligence and machine learning technologies is enabling more accurate predictions and real-time decision-making, further enhancing the value proposition of these analytics solutions.
Another key driver of market growth is the continuous technological advancements and innovations in data analytics tools and platforms. Companies are increasingly investing in advanced analytics capabilities, such as predictive analytics, prescriptive analytics, and real-time analytics, to gain deeper insights into their operations and market environments. The development of user-friendly and self-service analytics tools is also democratizing data access within organizations, empowering employees at all levels to leverage data in their daily decision-making processes. This democratization of data analytics is reducing the reliance on specialized data scientists, thereby accelerating the adoption of big data analytics across various business functions.
The increasing emphasis on regulatory compliance and data privacy is also driving growth in the Big Data and Business Analytics market. Strict regulations, such as the General Data Protection Regulation (GDPR) in Europe and the California Consumer Privacy Act (CCPA) in the United States, require organizations to manage and analyze data responsibly. This is prompting businesses to invest in robust analytics solutions that not only help them comply with these regulations but also ensure data integrity and security. Additionally, as data breaches and cybersecurity threats continue to rise, organizations are turning to analytics solutions to identify potential vulnerabilities and mitigate risks effectively.
Regionally, North America remains a dominant player in the Big Data and Business Analytics market, benefiting from the presence of major technology companies and a high rate of digital adoption. The Asia Pacific region, however, is emerging as a significant growth area, driven by rapid industrialization, urbanization, and increasing investments in digital transformation initiatives. Europe also showcases a robust market, fueled by stringent data protection regulations and a strong focus on innovation. Meanwhile, the markets in Latin America and the Middle East & Africa are gradually gaining momentum as organizations in these regions are increasingly recognizing the value of data analytics in enhancing business outcomes and driving economic growth.
The Big Data and Business Analytics market is segmented by components into software, services, and hardware, each playing a crucial role in the ecosystem. Software components, which include data management and analytics tools, are at the forefront, offering solutions that facilitate the collection, analysis, and visualization of large data sets. The software segment is driven by a demand for scalable solutions that can handle the increasing volume, velocity, and variety of data. As organizations strive to become more data-centric, there is a growing need for advanced analytics software that can provide actionable insights from complex data sets, leading to enhanced decision-making capabilities.
In the services segment, businesses are increasingly seeking consultation, implementation, and support services to effective
Listing of All Active Business. The data displayed is based on the Principal Place of Business residing in Oregon only. The county was determined by a City-Zip combination.
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MA: Firms using Banks to Finance Investment: % of Firms data was reported at 34.800 % in 2013. This records an increase from the previous number of 12.300 % for 2007. MA: Firms using Banks to Finance Investment: % of Firms data is updated yearly, averaging 23.550 % from Dec 2007 (Median) to 2013, with 2 observations. The data reached an all-time high of 34.800 % in 2013 and a record low of 12.300 % in 2007. MA: Firms using Banks to Finance Investment: % of Firms data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Morocco – Table MA.World Bank: Company Statistics. Firms using banks to finance investment are the percentage of firms using banks to finance investments.; ; World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).; Unweighted average;
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A dataset that explores Green Card sponsorship trends, salary data, and employer insights for master in business administration business statistics data analytics in the U.S.
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Statistical data on the number of credit cards in circulation, amount of credit card transactions, cash advances, and revolving credit amounts.
Official statistics are produced impartially and free from political influence.
They enable further analysis and comparison of Regional Trade in goods data and contain information that includes:
The spreadsheets provide data on businesses using both the whole number and proportion number methodology, (see section 3.24 (page 14) of the RTS methodology document).
The spreadsheets will cover:
The Exporters by proportional business count spreadsheet was previously produced by the Department for International Trade.
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BG: New Businesses Registered data was reported at 39,989.000 Number in 2022. This records an increase from the previous number of 39,544.000 Number for 2021. BG: New Businesses Registered data is updated yearly, averaging 39,989.000 Number from Dec 2008 (Median) to 2022, with 15 observations. The data reached an all-time high of 46,965.000 Number in 2016 and a record low of 8,199.000 Number in 2009. BG: New Businesses Registered data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Bulgaria – Table BG.World Bank.WDI: Businesses Registered Statistics. New businesses registered are the number of new limited liability corporations (or its equivalent) registered in the calendar year.;World Bank's Entrepreneurship Database (https://www.worldbank.org/en/programs/entrepreneurship).;;For cross-country comparability, only limited liability corporations that operate in the formal sector are included.
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Summary statistics of business dynamism taken from the Longitudinal Business Database (LBD), UK.