The number of small and medium-sized enterprises in the United States was forecast to continuously decrease between 2024 and 2029 by in total 6.7 thousand enterprises (-2.24 percent). After the fourteenth consecutive decreasing year, the number is estimated to reach 291.94 thousand enterprises and therefore a new minimum in 2029. According to the OECD an enterprise is defined as the smallest combination of legal units, which is an organisational unit producing services or goods, that benefits from a degree of autonomy with regards to the allocation of resources and decision making. Shown here are small and medium-sized enterprises, which are defined as companies with 1-249 employees.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in more than 150 countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).
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In March 2020, Mayor Carter announced the Saint Paul Bridge Fund to provide emergency relief for families and small businesses most vulnerable to the economic impacts of the COVID-19 pandemic. The program was funded through $3.25 million dollars from the Saint Paul Housing and Redevelopment Authority along with contributions from philanthropic, corporate and individual donors. Through these additional contributions, the fund provided $4.1 million to families and small businesses in Saint Paul.Data previously shared in this space included only the 380 recipients funded through "Phase 1". This dataset includes all three phases that were ultimately rolled out through the Bridge Fund for Small Business program.Nearly 2,000 unique applications applied for a small business grant of $7,50036% were from ACP50 areas (Areas of Concentrated Poverty where 50% or more of the residents are people of color)The applications were reviewed in order of a random number assigned at application close. Of these applications:633 small businesses were awarded a $7,500 grant36% of applications in the city were from ACP50 areas86% of applicants in the city cited they were ordered closed under one of the Governor’s Executive OrdersThis is a dataset of the small businesses that applied for the Bridge Fund and includes:Self-reported survey responsesAward informationGeographic information Additional information about the Saint Paul Bridge Fund may be found at stpaul.gov/bridge-fund.
The dataset exists to observe the entrepreneurial activity of Austin over a long time period. The data comes from the U.S. Census County Business Pattern table and is capturing data at the Travis County level. It contains the cumulative count of firms by employee size and count of firms by employee size by industry. This data can be used to see changes of employer growth by industry; to project where workforce growth could be occurring; or to simply see how many small businesses there are in Austin.
View more details and insights related to this data set on the story page: data.austintexas.gov/stories/s/ndb5-si22
The Small Business Administration maintains the Dynamic Small Business Search (DSBS) database. As a small business registers in the System for Award Management, there is an opportunity to fill out the small business profile. The information provided populates DSBS. DSBS is another tool contracting officers use to identify potential small business contractors for upcoming contracting opportunities. Small businesses can also use DSBS to identify other small businesses for teaming and joint venturing.
Access B2B Contact Data for North American Small Business Owners with Success.ai—your go-to provider for verified, high-quality business datasets. This dataset is tailored for businesses, agencies, and professionals seeking direct access to decision-makers within the small business ecosystem across North America. With over 170 million professional profiles, it’s an unparalleled resource for powering your marketing, sales, and lead generation efforts.
Key Features of the Dataset:
Verified Contact Details
Includes accurate and up-to-date email addresses and phone numbers to ensure you reach your targets reliably.
AI-validated for 99% accuracy, eliminating errors and reducing wasted efforts.
Detailed Professional Insights
Comprehensive data points include job titles, skills, work experience, and education to enable precise segmentation and targeting.
Enriched with insights into decision-making roles, helping you connect directly with small business owners, CEOs, and other key stakeholders.
Business-Specific Information
Covers essential details such as industry, company size, location, and more, enabling you to tailor your campaigns effectively. Ideal for profiling and understanding the unique needs of small businesses.
Continuously Updated Data
Our dataset is maintained and updated regularly to ensure relevance and accuracy in fast-changing market conditions. New business contacts are added frequently, helping you stay ahead of the competition.
Why Choose Success.ai?
At Success.ai, we understand the critical importance of high-quality data for your business success. Here’s why our dataset stands out:
Tailored for Small Business Engagement Focused specifically on North American small business owners, this dataset is an invaluable resource for building relationships with SMEs (Small and Medium Enterprises). Whether you’re targeting startups, local businesses, or established small enterprises, our dataset has you covered.
Comprehensive Coverage Across North America Spanning the United States, Canada, and Mexico, our dataset ensures wide-reaching access to verified small business contacts in the region.
Categories Tailored to Your Needs Includes highly relevant categories such as Small Business Contact Data, CEO Contact Data, B2B Contact Data, and Email Address Data to match your marketing and sales strategies.
Customizable and Flexible Choose from a wide range of filtering options to create datasets that meet your exact specifications, including filtering by industry, company size, geographic location, and more.
Best Price Guaranteed We pride ourselves on offering the most competitive rates without compromising on quality. When you partner with Success.ai, you receive superior data at the best value.
Seamless Integration Delivered in formats that integrate effortlessly with your CRM, marketing automation, or sales platforms, so you can start acting on the data immediately.
Use Cases: This dataset empowers you to:
Drive Sales Growth: Build and refine your sales pipeline by connecting directly with decision-makers in small businesses. Optimize Marketing Campaigns: Launch highly targeted email and phone outreach campaigns with verified contact data. Expand Your Network: Leverage the dataset to build relationships with small business owners and other key figures within the B2B landscape. Improve Data Accuracy: Enhance your existing databases with verified, enriched contact information, reducing bounce rates and increasing ROI. Industries Served: Whether you're in B2B SaaS, digital marketing, consulting, or any field requiring accurate and targeted contact data, this dataset serves industries of all kinds. It is especially useful for professionals focused on:
Lead Generation Business Development Market Research Sales Outreach Customer Acquisition What’s Included in the Dataset: Each profile provides:
Full Name Verified Email Address Phone Number (where available) Job Title Company Name Industry Company Size Location Skills and Professional Experience Education Background With over 170 million profiles, you can tap into a wealth of opportunities to expand your reach and grow your business.
Why High-Quality Contact Data Matters: Accurate, verified contact data is the foundation of any successful B2B strategy. Reaching small business owners and decision-makers directly ensures your message lands where it matters most, reducing costs and improving the effectiveness of your campaigns. By choosing Success.ai, you ensure that every contact in your pipeline is a genuine opportunity.
Partner with Success.ai for Better Data, Better Results: Success.ai is committed to delivering premium-quality B2B data solutions at scale. With our small business owner dataset, you can unlock the potential of North America's dynamic small business market.
Get Started Today Request a sample or customize your dataset to fit your unique...
The Business Structure Database (BSD) contains a small number of variables for almost all business organisations in the UK. The BSD is derived primarily from the Inter-Departmental Business Register (IDBR), which is a live register of data collected by HM Revenue and Customs via VAT and Pay As You Earn (PAYE) records. The IDBR data are complimented with data from ONS business surveys. If a business is liable for VAT (turnover exceeds the VAT threshold) and/or has at least one member of staff registered for the PAYE tax collection system, then the business will appear on the IDBR (and hence in the BSD). In 2004 it was estimated that the businesses listed on the IDBR accounted for almost 99 per cent of economic activity in the UK. Only very small businesses, such as the self-employed were not found on the IDBR.
The IDBR is frequently updated, and contains confidential information that cannot be accessed by non-civil servants without special permission. However, the ONS Virtual Micro-data Laboratory (VML) created and developed the BSD, which is a 'snapshot' in time of the IDBR, in order to provide a version of the IDBR for research use, taking full account of changes in ownership and restructuring of businesses. The 'snapshot' is taken around April, and the captured point-in-time data are supplied to the VML by the following September. The reporting period is generally the financial year. For example, the 2000 BSD file is produced in September 2000, using data captured from the IDBR in April 2000. The data will reflect the financial year of April 1999 to March 2000. However, the ONS may, during this time, update the IDBR with data on companies from its own business surveys, such as the Annual Business Survey (SN 7451).
The data are divided into 'enterprises' and 'local units'. An enterprise is the overall business organisation. A local unit is a 'plant', such as a factory, shop, branch, etc. In some cases, an enterprise will only have one local unit, and in other cases (such as a bank or supermarket), an enterprise will own many local units.
For each company, data are available on employment, turnover, foreign ownership, and industrial activity based on Standard Industrial Classification (SIC)92, SIC 2003 or SIC 2007. Year of 'birth' (company start-up date) and 'death' (termination date) are also included, as well as postcodes for both enterprises and their local units. Previously only pseudo-anonymised postcodes were available but now all postcodes are real.
The ONS is continually developing the BSD, and so researchers are strongly recommended to read all documentation pertaining to this dataset before using the data.
Linking to Other Business Studies
These data contain IDBR reference numbers. These are anonymous but unique reference numbers assigned to business organisations. Their inclusion allows researchers to combine different business survey sources together. Researchers may consider applying for other business data to assist their research.
Latest Edition Information
For the sixteenth edition (March 2024), data files and a variable catalogue document for 2023 have been added.
At CompanyData.com (BoldData), we provide verified company data sourced directly from official trade registers. Our global IT company dataset gives you access to 6 million IT businesses worldwide, including software firms, tech consultancies, system integrators, SaaS providers, and other IT service companies. Every record is sourced from authoritative local registries, ensuring unmatched accuracy, coverage, and compliance.
This dataset is built for professionals who need reliable, structured insights into the global technology sector. Each company profile includes firmographic details such as legal entity name, registration number, business structure, size, revenue range, and industry classification (NACE/SIC). In addition, you'll find direct contact information for decision-makers—emails, mobile numbers, job titles, and department roles—helping you connect with the right people instantly.
Whether you're validating suppliers for compliance, identifying high-potential leads for sales, enriching your CRM data, or building AI models with clean and segmented business intelligence, our IT dataset is designed to support a wide range of critical use cases. From global enterprises to fast-scaling startups, our data empowers businesses to move faster and smarter.
We offer multiple delivery methods tailored to your needs. Choose from custom bulk files, access data through our self-service platform, integrate it directly into your systems via real-time API, or let us enrich your existing database with missing fields and decision-maker insights.
With a database spanning 380 million companies globally, deep IT sector segmentation, and proven expertise in sourcing from local trade registers, CompanyData.com (BoldData) helps your team identify opportunities, ensure compliance, and scale efficiently—wherever your growth takes you.
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Mayor Michelle Wu is committed to creating equal opportunities for businesses of all kinds in Boston. Through the business certification process, the City identifies businesses that are owned by women, minorities, veterans as well as those that are small or local. Once a business is certified with our office, they are included in any vendor outreach efforts for City contracting opportunities and are also connected to resources offered inside and outside of the City.
In order to provide access to more minority-owned and woman-owned businesses, small and small local businesses, and veteran and service disabled veteran-owned small businesses, the City of Boston Directory of certified businesses is now available on Analyze Boston.
If you think you might be eligible for certification, visit our website and apply today
If you have questions about obtaining certification, please contact stacey.williams@boston.gov
Minority Business Enterprise (MBE) - means a business organization which is beneficially owned or substantially invested in by one or more minority group members as follows:
The firm has not been solely established for the purpose of taking advantage of a special program which has been developed to assist minority-owned businesses.
Woman Business Enterprise (WBE) - means a business organization which is beneficially owned or substantially invested in by one or more women meeting the following criteria:
The business must be at least 51% beneficially owned by a woman.
The woman owner must demonstrate that she has control over management.
The firm has not been solely established for the purpose of taking advantage of a special program which has been developed to assist woman-owned businesses.
Small Business Enterprise (SBE) - means a business with gross receipts, that when averaged over a three-year period do not exceed gross income limitations for that particular industry as defined by the Small Local Business Enterprise Office.
Small Local Business Enterprise (SLBE) - means a business which is a Small Business Enterprise, as defined above, and whose principal office is physically located in the City of Boston, as defined by the SLBE certification regulations.
A Veteran Owned Small Business (VOSB) and a Service Disabled Veteran Owned Small Business (SDVOSB) is a business that has already been verified as such by the U.S. Department of Veteran Affairs.
Yes, businesses may qualify for more than one certification.
Businesses are required to renew their certification _ every three years_.
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Analysis of ‘SBA Loans Case Data Set’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/larsen0966/sba-loans-case-data-set on 13 February 2022.
--- Dataset description provided by original source is as follows ---
If you like the data set and download it, an upvote would be appreciated.
The Small Business Administration (SBA) was founded in 1953 to assist small businesses in obtaining loans. Small businesses have been the primary source of employment in the United States. Helping small businesses help with job creation, which reduces unemployment. Small business growth also promotes economic growth. One of the ways the SBA helps small businesses is by guaranteeing bank loans. This guarantee reduces the risk to banks and encourages them to lend to small businesses. If the loan defaults, the SBA covers the amount guaranteed, and the bank suffers a loss for the remaining balance.
There have been several small business success stories like FedEx and Apple. However, the rate of default is very high. Many economists believe the banking market works better without the assistance of the SBA. Supporter claim that the social benefits and job creation outweigh any financial costs to the government in defaulted loans.
The original data set is from the U.S.SBA loan database, which includes historical data from 1987 through 2014 (899,164 observations) with 27 variables. The data set includes information on whether the loan was paid off in full or if the SMA had to charge off any amount and how much that amount was. The data set used is a subset of the original set. It contains loans about the Real Estate and Rental and Leasing industry in California. This file has 2,102 observations and 35 variables. The column Default is an integer of 1 or zero, and I had to change this column to a factor.
For more information on this data set go to https://amstat.tandfonline.com/doi/full/10.1080/10691898.2018.1434342
--- Original source retains full ownership of the source dataset ---
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Small Business Sentiment in Brazil decreased to 45.60 points in April from 46.50 points in March of 2025. This dataset provides the latest reported value for - Brazil Small Business Sentiment - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
This dataset includes anonymized information about all of CSBDF's closed loans that were utilized in the lending economic impact analysis for FY20 (July 1, 2019 through June 30, 2020). The data contain anonymized information on all lending transactions during the period, including the socioeconomic characteristics of the recipient small businesses and their owner(s).
The State Small Business Credit Initiative (SSBCI)Transactions Dataset is a set of files reporting transaction level data for all transactions conducted through the SSBCI program from inception in 2011 through December 31, 2016. This dataset categorizes transactions by program type, according to the five approved SSBCI programs: Capital Access Programs, Collateral Support Programs, Loan Guarantee Programs, Loan Participation Programs, and Venture Capital Programs. The transaction level data was reported to Treasury by Participating States on an annual basis, as required by the Allocation Agreements. Participating States included all 50 states, the District of Columbia, American Samoa, Guam, Northern Mariana Islands, Puerto Rico and the U.S. Virgin Islands. The data fields provided here include the total financing amount, the amount of federal dollars expended, the date of the transaction, and the industry, zip code, and FTEs of the business receiving financing at the point of transaction, among other fields. The data files are available for public use. This dataset provides quantitative information that can be used for analysis of federal expenditure in supporting small business and economic development in identifying how and where federal financing was used.
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NEW!: Use the new Business Account Number lookup tool.
SUMMARY This dataset includes the locations of businesses that pay taxes to the City and County of San Francisco. Each registered business may have multiple locations and each location is a single row. The Treasurer & Tax Collector’s Office collects this data through business registration applications, account update/closure forms, and taxpayer filings. Business locations marked as “Administratively Closed” have not filed or communicated with TTX for 3 years, or were marked as closed following a notification from another City and County Department.
The data is collected to help enforce the Business and Tax Regulations Code including, but not limited to: Article 6, Article 12, Article 12-A, and Article 12-A-1. http://sftreasurer.org/registration.
HOW TO USE THIS DATASET
To learn more about using this dataset watch this video. To update your listing or look up your BAN see this FAQ: Registered Business Locations Explainer
The below reference files provide current and historical small business size standards effective during the provided reference periods. Size standards for reference periods prior to August 2019 are provided based on the size standards in effect on January 1 of each CFR reference year, and thus, may not provide the entire history of SBA’s changes to size standards that occurred after January 1 of the CFR reference year. As such, changes that occur after January 1 of the CFR reference year are reflected in the Table of Small Business Size Standards for the next CFR reference year. Legal requirements related to size standards are governed by SBA’s size regulations actually in effect during the applicable period. Size standards for reference periods after August 2019 are provided based on the actual effective dates of the size standards. The Small Business Size Standards APIs, also provided below, power the following application: https://fanyv88.com:443/https/www.sba.gov/size-standards/, which can be used to determine if a business qualifies as small for purposes of Federal government contracting.
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Small Business Sentiment in Japan decreased to 1 points in the second quarter of 2025 from 2 points in the first quarter of 2025. This dataset provides - Japan Small Business Sentiment- actual values, historical data, forecast, chart, statistics, economic calendar and news.
McGRAW’s US B2B Data: Accurate, Reliable, and Market-Ready
Our B2B database delivers over 80 million verified contacts with 95%+ accuracy. Supported by in-house call centers, social media validation, and market research teams, we ensure that every record is fresh, reliable, and optimized for B2B outreach, lead generation, and advanced market insights.
Our B2B database is one of the most accurate and extensive datasets available, covering over 91 million business executives with a 95%+ accuracy guarantee. Designed for businesses that require the highest quality data, this database provides detailed, validated, and continuously updated information on decision-makers and industry influencers worldwide.
The B2B Database is meticulously curated to meet the needs of businesses seeking precise and actionable data. Our datasets are not only extensive but also rigorously validated and updated to ensure the highest level of accuracy and reliability.
Key Data Attributes:
Unlike many providers that rely solely on third-party vendor files, McGRAW takes a hands-on approach to data validation. Our dedicated nearshore and offshore call centers engage directly with data before each delivery to ensure every record meets our high standards of accuracy and relevance.
In addition, our teams of social media validators, market researchers, and digital marketing specialists continuously refine and update records to maintain data freshness. Each dataset undergoes multiple verification checks using internal validation processes and third-party tools such as Fresh Address, BriteVerify, and Impressionwise to guarantee the highest data quality.
Additional Data Solutions and Services
Data Enhancement: Email and LinkedIn appends, contact discovery across global roles and functions
Business Verification: Real-time validation through call centers, social media, and market research
Technology Insights: Detailed IT infrastructure reports, spending trends, and executive insights
Healthcare Database: Access to over 80 million healthcare professionals and industry leaders
Global Reach: US and international GDPR-compliant datasets, complete with email, postal, and phone contacts
Email Broadcast Services: Full-service campaign execution, from testing to live deployment, with tracking of key engagement metrics such as opens and clicks
Many B2B data providers rely on vendor-contributed files without conducting the rigorous validation necessary to ensure accuracy. This often results in outdated and unreliable data that fails to meet the demands of a fast-moving business environment.
McGRAW takes a different approach. By owning and operating dedicated call centers, we directly verify and validate our data before delivery, ensuring that every record is up-to-date and ready to drive business success.
Through continuous validation, social media verification, and real-time updates, McGRAW provides a high-quality, dependable database for businesses that prioritize data integrity and performance. Our Global Business Executives database is the ideal solution for companies that need accurate, relevant, and market-ready data to fuel their strategies.
https://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.7910/DVN/JYYYNUhttps://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.7910/DVN/JYYYNU
This dataset includes anonymized information about all of CSBDF's closed loans that were utilized in the lending economic impact analysis for FY22 (July 1, 2021 through June 30, 2022). The data contain anonymized information on all lending transactions during the period, including selected characteristics of the recipient small businesses and their owner(s).
The list tracks the number of businesses that NYC Business Acceleration has assisted in opening and how many jobs were created by those businesses. This data is up to date as of the date reflected in the "About" tab of this dataset.
The annual Small Business Procurement Scorecard is an assessment tool to (1) measure how well federal agencies reach their small business and socio-economic prime contracting and subcontracting goals, (2) provide accurate and transparent contracting data and (3) report agency-specific progress. The prime and subcontracting component goals include goals for small businesses, small businesses owned by women (WOSB), small disadvantaged businesses (SDB), service-disabled veteran-owned small businesses (SDVOSB), and small businesses located in Historically Underutilized Business Zones (HUBZones). Each federal agency has a different small business contracting goal, negotiated annually in consultation with SBA. SBA ensures that the sum total of all of the goals meets the 23 percent target established by law.
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The dataset is from the U.S. Small Business Administration (SBA)
The U.S. SBA was founded in 1953 on the principle of promoting and assisting small enterprises in the U.S. credit market (SBA Overview and History, US Small Business Administration (2015)). Small businesses have been a primary source of job creation in the United States; therefore, fostering small business formation and growth has social benefits by creating job opportunities and reducing unemployment.
There have been many success stories of start-ups receiving SBA loan guarantees such as FedEx and Apple Computer. However, there have also been stories of small businesses and/or start-ups that have defaulted on their SBA-guaranteed loans.
Shape of the data: 899164 rows and 27 columns
Variable Name | Description |
---|---|
LoanNr_ChkDgt | Identifier Primary key |
Name | Borrower name |
City | Borrower city |
State | Borrower state |
Zip | Borrower zip code |
Bank | Bank name |
BankState | Bank state |
NAICS | North American industry classification system code |
ApprovalDate | Date SBA commitment issued |
ApprovalFY | Fiscal year of commitment |
Term | Loan term in months |
NoEmp | Number of business employees |
NewExist | 1 = Existing business, 2 = New business |
CreateJob | Number of jobs created |
RetainedJob | Number of jobs retained |
FranchiseCode | Franchise code, (00000 or 00001) = No franchise |
UrbanRural | 1 = Urban, 2 = rural, 0 = undefined |
RevLineCr | Revolving line of credit: Y = Yes, N = No |
LowDoc | LowDoc Loan Program: Y = Yes, N = No |
ChgOffDate | The date when a loan is declared to be in default |
DisbursementDate | Disbursement date |
DisbursementGross | Amount disbursed |
BalanceGross | Gross amount outstanding |
MIS_Status | Loan status charged off = CHGOFF, Paid in full =PIF |
ChgOffPrinGr | Charged-off amount |
GrAppv | Gross amount of loan approved by bank |
SBA_Appv | SBA’s guaranteed amount of approved loan |
Sector | Description |
---|---|
11 | Agriculture, forestry, fishing and hunting |
21 | Mining, quarrying, and oil and gas extraction |
22 | Utilities |
23 | Construction |
31–33 | Manufacturing |
42 | Wholesale trade |
44–45 | Retail trade |
48–49 | Transportation and warehousing |
51 | Information |
52 | Finance and insurance |
53 | Real estate and rental and leasing |
54 | Professional, scientific, and technical services |
55 | Management of companies and enterprises |
56 | Administrative and support and waste management and remediation services |
61 | Educational services |
62 | Health care and social assistance |
71 | Arts, entertainment, and recreation |
72 | Accommodation and food services |
81 | Other services (except public administration) 92 Public administration |
Original data set id from “Should This Loan be Approved or Denied?”: A Large Dataset with Class Assignment Guidelines. by: Min Li, Amy Mickel & Stanley Taylor
To link to this article: https://doi.org/10.1080/10691898.2018.1434342
Good luck with predictions!
The number of small and medium-sized enterprises in the United States was forecast to continuously decrease between 2024 and 2029 by in total 6.7 thousand enterprises (-2.24 percent). After the fourteenth consecutive decreasing year, the number is estimated to reach 291.94 thousand enterprises and therefore a new minimum in 2029. According to the OECD an enterprise is defined as the smallest combination of legal units, which is an organisational unit producing services or goods, that benefits from a degree of autonomy with regards to the allocation of resources and decision making. Shown here are small and medium-sized enterprises, which are defined as companies with 1-249 employees.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in more than 150 countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).