Comprehensive salary benchmarking dataset covering compensation data across major technology companies, job families, locations, and experience levels. Includes base salary, total compensation, equity, and bonus information.

The Compensation and Salary Surveys (FR 29) is comprised of the (1) Compensation and Salary Survey (FR 29a) and (2) Ad Hoc Surveys (FR 29b). The FR 29a is collected annually and the FR 29b is collected on an as needed basis but not more frequently than five times per year. These surveys collect information on salaries, employee compensation policies, and other employee programs from employers that are considered competitors of the Board. The data from the surveys primarily are used to determine the appropriate salary structure and salary adjustments for Board employees.

Comprehensive 2025 salary data covering 145,000+ job postings across 32,000+ companies in Hong Kong

It’s hard to get real-world information about what jobs pay, ALISON GREEN published a survey in 2021 on AskAManager.org, a US-centric-ish but does allow for a range of country inputs. The survey is designed to examine payment of different industries based on experience years, field experience years among other variables such as gender, race and education level.

The dataset is “live” and constantly growing, our dataset was downloaded in 23/2/2023.

Data Dictionary

The original dataset includes the following fields: * Age: How old are you? * Industry: What industry do you work in? * Job title: What is your job title? * Extra_job_title: If your job title needs additional context, please clarify here * Annual_salary: "What is your annual salary? If you are part-time or hourly, please enter an annualized equivalent -- what you would earn if you worked the job 40 hours a week, 52 weeks a year.)
* Annual_bonus: How much additional monetary compensation do you get, if any (for example, bonuses or overtime in an average year) only include monetary compensation here, not the value of benefits. * Currency: Please indicate your salary currency. * Other_currency: 'If "Other," please indicate the currency here. * Extra_income_info: "If your income needs additional context, please provide it here. * Work_country: "What country do you work in? * Work_state_US: "If you're in the U.S., what state do you work in? * Work_city: "What city do you work in? * Overall_experience_years: "How many years of professional work experience do you have overall? * Field_experience_years: "How many years of professional work experience do you have in your field?" * Education_level: "What is your highest level of education completed? * Gender: "What is your gender? * Race:"What is your race? (Choose all that apply.)

Unlock valuable salary insights with our comprehensive Salary Dataset, designed for businesses, recruiters, and job seekers to analyze compensation trends, workforce planning, and market competitiveness.

Dataset Features

Job Listings & Salaries: Access structured salary data from top job platforms, including job titles, company names, locations, salary ranges, and compensation types. Employer & Industry Insights: Extract company-specific salary trends, industry benchmarks, and hiring patterns. Geographic Pay Disparities: Compare salaries across different regions, cities, and countries to identify location-based compensation trends. Job Market Trends: Monitor salary fluctuations, demand for specific roles, and hiring trends over time.

Customizable Subsets for Specific Needs Our Salary Dataset is fully customizable, allowing you to filter data based on job titles, industries, locations, experience levels, and salary ranges. Whether you need broad market insights or focused data for recruitment strategy, we tailor the dataset to your needs.

Popular Use Cases

Workforce Planning & Talent Acquisition: Optimize hiring strategies by analyzing salary benchmarks and compensation trends. Market Research & Competitive Intelligence: Compare salaries across industries and competitors to stay ahead in talent acquisition. Career Decision-Making: Help job seekers evaluate salary expectations and identify high-paying opportunities. AI & Predictive Analytics: Use structured salary data to train AI models for job market forecasting and compensation analysis. Geographic Expansion & Business Strategy: Assess salary variations across regions to plan business expansions and remote workforce strategies.

Whether you're optimizing recruitment, analyzing salary trends, or making data-driven career decisions, our Salary Dataset provides the structured data you need. Get started today and customize your dataset to fit your business objectives.

The dataset includes the merged data of face-to-face salary surveys in 28 countries, undertaken between 2006 and 2013. The total number of observations is 59,138 individuals in the labour force. Almost all countries are developing countries in Africa, Asia, and Latin America.

The Employee Salary and Benefits Strategy market is experiencing robust growth, driven by a confluence of factors. Increasing competition for talent, coupled with rising inflation and evolving employee expectations, necessitates sophisticated strategies to attract, retain, and motivate a high-performing workforce. Companies are increasingly recognizing the strategic importance of competitive compensation and benefits packages, moving beyond basic salary structures to incorporate comprehensive wellness programs, flexible work arrangements, and personalized benefits options. This shift is fueled by the need to improve employee engagement, reduce turnover costs, and enhance overall organizational productivity. The market is segmented by various factors including company size, industry, and geographic location, with larger enterprises often leading the adoption of advanced compensation and benefits management technologies. The ongoing evolution of healthcare costs and the need for compliance with evolving regulations present challenges, yet also stimulate innovation within the market. Consultancy services are in high demand, assisting organizations in navigating the complexities of designing, implementing, and optimizing their employee compensation and benefits strategies. The market's projected Compound Annual Growth Rate (CAGR) indicates a sustained period of expansion. While precise figures are not provided, a reasonable estimation, considering typical growth rates in related sectors and market dynamics, could place the CAGR in the range of 6-8% for the forecast period (2025-2033). This growth is supported by the increasing adoption of data-driven decision-making in compensation and benefits planning, allowing companies to optimize their strategies for maximum impact. Key players in the market, including large consulting firms and specialized HR technology providers, are strategically positioned to capitalize on this growth by offering comprehensive solutions tailored to specific organizational needs and industry best practices. Market penetration in emerging economies presents significant opportunities for future expansion, albeit with unique challenges related to local regulations and market complexities.

Survey of classified jobs and the relationship of the average salary to the average market salary.

Salary, educational and experience requirements collected during the 2022 City Employee Salary Survey.

Compensation Benchmarking Platform Market Outlook

According to our latest research, the global Compensation Benchmarking Platform market size reached USD 1.62 billion in 2024, reflecting the sector’s substantial growth momentum. The market is expected to progress at a robust CAGR of 10.4% from 2025 to 2033, ultimately reaching a forecasted value of USD 4.33 billion by 2033. This impressive trajectory is driven by the increasing demand for data-driven compensation strategies, the rise of remote and hybrid work models, and growing regulatory scrutiny around pay equity and transparency.

One of the primary growth factors for the Compensation Benchmarking Platform market is the heightened focus on talent acquisition and retention in an intensely competitive global labor market. Organizations are increasingly leveraging advanced benchmarking tools to ensure their compensation packages are both attractive and equitable. These platforms offer real-time, data-driven insights that enable companies to align salaries, benefits, and incentives with industry standards and regional market trends. As workforce dynamics evolve and employee expectations shift, the need for accurate and up-to-date compensation data has become critical to maintaining organizational competitiveness and employee satisfaction. This shift is also being accelerated by the adoption of digital HR solutions and the integration of artificial intelligence and machine learning within compensation management systems.

Another significant driver is the growing regulatory emphasis on pay equity and transparency across various regions, particularly in North America and Europe. Governments and regulatory bodies are introducing stricter guidelines and mandates regarding fair compensation practices, compelling organizations to adopt robust benchmarking solutions. These platforms not only help companies comply with evolving legal requirements but also assist in identifying and addressing internal pay disparities. The ability to conduct comprehensive pay equity analyses and generate compliance reports has become a crucial feature for enterprises, especially those operating in multiple jurisdictions. This regulatory push is expected to further fuel the adoption of compensation benchmarking platforms, as organizations seek to mitigate risks and enhance their employer brand.

The proliferation of remote and hybrid work models in the post-pandemic era has added another layer of complexity to compensation management, further boosting demand for benchmarking platforms. With employees now working from diverse locations, organizations must navigate varying cost-of-living indices, local labor laws, and market salary rates. Compensation benchmarking platforms enable HR professionals to make informed decisions by providing granular, location-based compensation data. This capability is particularly valuable for multinational corporations and fast-growing startups aiming to attract talent from a global pool. As the workplace continues to evolve, the need for flexible, scalable, and cloud-based benchmarking solutions is expected to become even more pronounced, driving sustained market growth.

From a regional perspective, North America currently dominates the Compensation Benchmarking Platform market, accounting for the largest revenue share in 2024. This leadership position is attributed to the region’s advanced HR technology ecosystem, high adoption rates among large enterprises, and stringent regulatory frameworks. Europe follows closely, with increasing investments in digital HR solutions and growing emphasis on pay transparency. Meanwhile, the Asia Pacific region is witnessing the fastest growth, propelled by rapid digital transformation, expanding enterprise sector, and rising awareness of global compensation standards. These trends are shaping the competitive landscape and influencing product innovation and service delivery across all major regions.

Component Analysis

The Component segment of the Compensation Benchmarking Platform market is bifurcated into Software and Services, each playing a pivotal role in shaping the overall market landscape. Software solutions form the backbone of compensation benchmarking, providing organizations with robust tools for data analysis, visualization, and reporting. These platforms are increasingly being enhanced with artificial intelligence and machine learning capabilities, allowing for predic

AI-Enhanced Compensation Benchmarking Market Outlook

As per our latest research, the AI-Enhanced Compensation Benchmarking market size reached USD 1.92 billion globally in 2024. The market is experiencing robust growth, propelled by the increasing adoption of artificial intelligence in human resource management. With a compound annual growth rate (CAGR) of 17.6% projected from 2025 to 2033, the market is expected to reach a value of approximately USD 9.48 billion by 2033. This surge is primarily attributed to the growing demand for data-driven compensation strategies, the need for pay equity, and the rapid digital transformation of HR functions across industries.

One of the primary growth factors driving the AI-Enhanced Compensation Benchmarking market is the escalating need for organizations to remain competitive in talent acquisition and retention. As the global workforce becomes increasingly mobile and diverse, companies are under pressure to offer attractive and equitable compensation packages. AI-powered benchmarking tools enable organizations to analyze vast datasets, identify compensation trends, and make informed decisions that align with both market standards and internal equity. This capability not only helps businesses attract top talent but also ensures compliance with evolving labor regulations and pay transparency mandates, making AI-enhanced solutions indispensable in modern HR strategies.

Another significant driver is the integration of advanced analytics and machine learning algorithms within compensation benchmarking solutions. These technologies facilitate real-time analysis of compensation data, predictive modeling, and scenario planning, all of which are crucial for dynamic workforce management. Organizations are increasingly leveraging these AI capabilities to optimize salary structures, assess benefits competitiveness, and proactively address pay disparities. The automation and accuracy provided by AI reduce human bias and errors, resulting in more objective and defensible compensation decisions. As a result, the adoption of AI-enhanced benchmarking tools is expanding rapidly across sectors such as banking, healthcare, IT, manufacturing, and retail.

The proliferation of cloud-based HR platforms and the growing emphasis on digital transformation further amplify market growth. Cloud deployment not only offers scalability and cost-efficiency but also enables seamless integration with existing HR systems and access to real-time market data. Companies of all sizes, from small and medium enterprises to large corporations, are embracing cloud-based AI solutions to streamline compensation management processes and enhance strategic workforce planning. Additionally, the increasing focus on diversity, equity, and inclusion (DEI) initiatives is compelling organizations to leverage AI-driven pay equity analysis, further fueling demand for advanced compensation benchmarking tools on a global scale.

Regionally, North America continues to dominate the AI-Enhanced Compensation Benchmarking market, accounting for the largest share in 2024. This leadership is attributed to the high adoption rate of advanced HR technologies, stringent labor regulations, and the presence of major market players in the region. Europe follows closely, driven by regulatory initiatives promoting pay transparency and equity. Meanwhile, the Asia Pacific region is witnessing the fastest growth, fueled by rapid digitalization, expanding enterprise adoption, and increasing awareness of the strategic importance of data-driven compensation management. Latin America and the Middle East & Africa are also experiencing steady growth, supported by economic modernization and the rising need for competitive talent management practices.

Component Analysis

The AI-Enhanced Compensation Benchmarking market is segmented by component into software and services. The software segment commands a significant share of the market, as organizations increasingly seek

Compensation Benchmark Copilot Market Outlook

According to our latest research, the global Compensation Benchmark Copilot market size reached USD 1.68 billion in 2024, and is expected to grow at a robust CAGR of 12.3% during the forecast period, reaching approximately USD 4.76 billion by 2033. This remarkable growth trajectory is primarily driven by the increasing demand for data-driven compensation strategies, the growing adoption of artificial intelligence (AI) and machine learning (ML) in human resources (HR) management, and the rising focus on pay equity and regulatory compliance across industries.

One of the primary growth factors propelling the Compensation Benchmark Copilot market is the escalating complexity of compensation structures in modern organizations. As businesses expand globally and workforce diversity increases, HR departments face mounting challenges in ensuring fair and competitive compensation. The integration of AI-powered benchmarking tools enables organizations to analyze vast datasets, compare compensation packages across industries and geographies, and make data-driven decisions that align with both market trends and internal equity. Additionally, evolving labor laws and heightened scrutiny around pay transparency are pushing companies to adopt advanced solutions that support compliance and foster trust among employees.

Another significant driver is the rapid digital transformation within HR functions, with organizations increasingly leveraging cloud-based platforms and automation to streamline compensation management processes. The proliferation of remote and hybrid work models has further intensified the need for real-time compensation data and benchmarking capabilities, as organizations strive to attract and retain top talent in a competitive landscape. Compensation Benchmark Copilot solutions offer seamless integration with existing HRIS systems, providing actionable insights and predictive analytics that empower HR leaders to design effective compensation strategies, mitigate turnover risks, and enhance overall workforce satisfaction.

Moreover, the emphasis on pay equity and diversity, equity, and inclusion (DEI) initiatives is catalyzing the adoption of Compensation Benchmark Copilot solutions across various sectors. With increased awareness around gender and racial pay gaps, organizations are under pressure to conduct regular pay equity analyses and demonstrate accountability in their compensation practices. Advanced benchmarking tools facilitate granular analysis of salary data, identify disparities, and recommend corrective actions, thereby supporting organizations in building inclusive and equitable workplaces. This trend is expected to sustain strong market momentum, particularly in highly regulated industries such as BFSI, healthcare, and IT & telecommunications.

From a regional perspective, North America currently dominates the Compensation Benchmark Copilot market, accounting for the largest revenue share in 2024, driven by the presence of leading technology providers, early adoption of AI-driven HR solutions, and stringent regulatory frameworks. Europe follows closely, with robust growth fueled by evolving labor laws and increasing corporate focus on pay transparency. The Asia Pacific region is anticipated to witness the fastest CAGR during the forecast period, supported by rapid digitalization, expanding enterprise sector, and rising awareness of compensation benchmarking benefits among organizations in emerging economies.

Component Analysis

The Compensation Benchmark Copilot market is segmented by component into Software and Services. The software segment constitutes the largest share of the market, primarily due to the increasing preference for automated compensation management platforms that offer advanced analytics, visualization, and seamless integration capabilities. Organizations are investing heavily in AI-powered benchmarking software that enables real-time access to market data, customizable dashboards, and robust reporting tools. These solutions streamline the entire compensation lifecycle, from salary benchmarking to pay equity analysis, empowering HR professionals to make informed decisions swiftly and efficiently. The growing adoption of cloud-based compensation software is further enhancing scalability, flexibility, and cost-effectiveness, making it an attractive option for organizations of all sizes.

The Public 2020 Stack Overflow Developer Survey Results

Description:

The enclosed data set is the full, cleaned results of the 2020 Stack Overflow Developer Survey. Free response submissions and personally identifying information have been removed from the results to protect the privacy of respondents. There are three files besides this README:

1. survey_results_public.csv - CSV file with main survey results, one respondent per row and one column per answer
2. survey_results_schema.csv - CSV file with survey schema, i.e., the questions that correspond to each column name
3. so_survey_2020.pdf - PDF file of survey instrument

The survey was fielded from February 5 to February 28, 2020. The median time spent on the survey for qualified responses was 16.6 minutes.

Respondents were recruited primarily through channels owned by Stack Overflow. The top 5 sources of respondents were onsite messaging, blog posts, email lists, Meta posts, banner ads, and social media posts. Since respondents were recruited in this way, highly engaged users on Stack Overflow were more likely to notice the links for the survey and click to begin it.

As an incentive, respondents who finished the survey could opt in to a "Census" badge if they completed the survey.

You can find the official published results here:

https://insights.stackoverflow.com/survey/2020

Find previous survey results here:

https://insights.stackoverflow.com/survey

Legal:

This database - The Public 2020 Stack Overflow Developer Survey Results - is made available under the Open Database License (ODbL): http://opendatacommons.org/licenses/odbl/1.0/. Any rights in individual contents of the database are licensed under the Database Contents License: http://opendatacommons.org/licenses/dbcl/1.0/

TLDR: You are free to share, adapt, and create derivative works from The Public 2020 Stack Overflow Developer Survey Results as long as you attribute Stack Overflow, keep the database open (if you redistribute it), and continue to share-alike any adapted database under the ODbl.

Acknowledgment:

Massive, heartfelt thanks to all Stack Overflow contributors and lurking developers of the world who took part in the survey this year. We value your generous participation more than you know. <3

Comprehensive competitive intelligence dataset providing salary and compensation analysis across technology companies. Includes comparative compensation data, market positioning, and competitive benchmarking insights for strategic workforce planning.

The National Compensation Survey (NCS) provides comprehensive measures of occupational wages; employment cost trends, and benefit incidence and detailed plan provisions. Detailed occupational earnings are available for metropolitan and non-metropolitan areas, broad geographic regions, and on a national basis. The index component of the NCS (ECI) measures changes in labor costs. Average hourly employer cost for employee compensation is presented in the ECEC.

Veterinary Compensation Benchmarking Platforms Market Outlook

According to our latest research, the veterinary compensation benchmarking platforms market size reached USD 712 million globally in 2024, demonstrating robust momentum driven by the increasing focus on workforce optimization and competitive compensation strategies in the veterinary sector. The market is projected to expand at a CAGR of 10.3% from 2025 to 2033, reaching an estimated value of USD 1.77 billion by the end of the forecast period. This growth is primarily fueled by the rising demand for data-driven compensation management, the adoption of digital HR technologies, and the intensifying competition for skilled veterinary professionals.

One of the primary growth factors for the veterinary compensation benchmarking platforms market is the escalating competition among veterinary service providers for attracting and retaining top talent. The veterinary sector has witnessed a significant surge in demand for skilled practitioners, technicians, and support staff, particularly as pet ownership rates continue to rise globally. In response, organizations are increasingly turning to advanced compensation benchmarking platforms to ensure their salary structures, benefits packages, and incentive programs remain competitive and aligned with industry standards. These platforms empower veterinary clinics and hospitals to make informed decisions, reduce turnover, and enhance employee satisfaction, all of which are crucial in a market characterized by acute talent shortages and rising operational costs.

Another pivotal driver is the digital transformation of human resources management within the veterinary industry. As veterinary practices grow in size and complexity, manual compensation management methods are proving inadequate for handling the intricacies of salary benchmarking, benefits analysis, and compliance tracking. Veterinary compensation benchmarking platforms provide automated, cloud-based solutions that streamline HR processes, integrate seamlessly with existing practice management systems, and offer real-time analytics for strategic decision-making. The proliferation of cloud computing and the increasing integration of artificial intelligence and machine learning into these platforms are further enhancing their capabilities, enabling users to gain deeper insights into workforce trends, compensation equity, and regulatory compliance.

Furthermore, regulatory pressures and evolving labor standards are compelling veterinary organizations to adopt transparent and compliant compensation practices. Veterinary compensation benchmarking platforms play a critical role in helping organizations navigate complex regulatory environments by providing up-to-date data on industry compensation trends, compliance requirements, and best practices. This is particularly important in regions with stringent labor laws and reporting obligations. As the veterinary industry becomes more professionalized and regulated, the demand for robust benchmarking solutions that ensure fair, equitable, and legally compliant compensation structures is expected to grow substantially.

From a regional perspective, North America continues to dominate the veterinary compensation benchmarking platforms market, accounting for the largest share in 2024. This leadership is attributed to the region’s advanced veterinary healthcare infrastructure, high adoption rates of digital HR solutions, and a strong emphasis on employee retention and satisfaction. Europe follows closely, driven by the increasing professionalization of veterinary services and the growing awareness of the importance of compensation benchmarking. Meanwhile, the Asia Pacific region is emerging as a high-growth market, fueled by rapid urbanization, rising pet ownership, and the digitalization of veterinary practices. Latin America and the Middle East & Africa are also witnessing steady growth, although at a relatively slower pace due to varying levels of technological adoption and market maturity.

Component Analysis

The veterinary compensation benchmarking platforms market is segmented by component into software and services. The software segment holds the dominant share, accounting for a significant portion of the market’s revenue in 2024. Veterinary compensation benchmarking software solutions are the backbone of this market, providing core functionalities such as salary benchmarking, workforce a

Glassdoor Data for U.S. Salary Intelligence, Executive Compensation & HR Strategy Glassdoor Data is one of the most actionable and trusted sources of alternative data for understanding salary benchmarks, executive compensation, and company-level payroll dynamics. This Glassdoor Data product provides granular salary insights across thousands of U.S. companies, based directly on job titles, experience levels, and compensation submissions. Each record includes: • Company name • Job title • Location • Years of experience • Submission count • Total pay • Base and additional pay • Scrape timestamp • Source URL The dataset is designed to offer transparent, real-world compensation intelligence for roles across industries and seniority levels—without relying on external company datasets or third-party matching. Whether you're benchmarking pay levels, building compensation bands, or modeling payroll scenarios, this Glassdoor salary data delivers raw, high-signal insights to support strategic decisions across HR, finance, and analytics teams. This dataset is ideal for compensation strategists, HR teams, financial analysts, and market researchers who require consistent, transparent, and scalable compensation intelligence to support pay benchmarking, cost modeling, or workforce evaluation. Use Cases: What Problems This Glassdoor Data Solves Whether you’re building a salary model, evaluating leadership compensation trends, or enhancing your payroll benchmarking strategy, Canaria’s Glassdoor data replaces assumptions with structured, evidence-based insights. Compensation Benchmarking & Strategy • Benchmark average salary ranges, executive pay, and bonus structures by industry • Understand pay differences by company size, structure, and market positioning • Compare compensation levels across roles, sectors, and seniority levels • Support equitable pay band development and validate DEI-focused compensation initiatives • Track salary progression over time across different industries and geographies Financial Intelligence & Valuation Modeling • Integrate salary and payroll data into operating cost and DCF models • Analyze compensation-to-revenue ratios across public and private companies • Use Glassdoor executive compensation signals to estimate fiscal discipline and growth maturity • Evaluate total labor cost benchmarks across sectors to support investment or M&A models • Support startup valuation modeling using real-world salary and review signals HR Analytics & Payroll Planning • Calibrate compensation plans, equity offers, and incentive structures based on real benchmarks • Align workforce planning with external salary and benefits trends • Compare employee sentiment with compensation ratings to monitor retention risk • Understand compensation differentials across company size brackets and industries • Evaluate which employers attract and retain talent based on pay satisfaction reviews Company Analysis & Leadership Signals • Track CEO and leadership pay benchmarks to evaluate executive strategy alignment • Use Glassdoor scores and review counts to evaluate employee morale and culture • Analyze patterns in rating trends, review frequency, and compensation satisfaction • Compare compensation strategies across different growth stages and business models • Detect early warning signals through declining ratings or increasing negative reviews Who Uses Canaria’s Glassdoor Data? • HR & People Analytics teams refining salary structures • Finance and Operations teams modeling payroll scenarios • Private Equity, VC, and Corporate Strategy teams estimating workforce cost risk • Compensation Consultants benchmarking roles by industry and geography • BI and Research Analysts tracking labor cost trends and employer sentiment • KYC and corporate due diligence workflows integrating public employee reviews Summary Canaria’s Glassdoor Data product delivers verified, structured, and independently sourced salary and compensation intelligence for U.S. companies. With a focus on executive pay, workforce sentiment, and real-world salary benchmarks, it equips HR, finance, and strategy teams with the tools needed to model, analyze, and optimize compensation decisions.

From benchmarking CEO pay to understanding employee satisfaction and cost structures, this dataset supports decision-making across compensation strategy, HR planning, and company evaluation—at scale.

About Canaria Inc. Canaria Inc. is a leader in alternative data, specializing in job market intelligence, LinkedIn company data, Glassdoor salary analytics, and Google Maps location insights. We deliver clean, structured, and enriched datasets at scale using proprietary data scraping pipelines and advanced AI/LLM-based modeling, all backed by human validation. Our platform also includes Google Maps data, providing verified business location intelligence — such as addresses, coordinates, hours, categories, and ratings — which is fully matchable with our company datasets for powerful ...

In August 2025, the average hourly earnings for all employees on private nonfarm payrolls in the United States stood at 36.53 U.S. dollars. The data have been seasonally adjusted. Employed persons are employees on nonfarm payrolls and consist of: persons who did any work for pay or profit during the survey reference week; persons who did at least 15 hours of unpaid work in a family-operated enterprise; and persons who were temporarily absent from their regular jobs because of illness, vacation, bad weather, industrial dispute, or various personal reasons.

Dataset

This dataset was created by Prashant Banerjee

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