Introduction

The Job Market Insights Dataset offers a comprehensive view of job postings worldwide, providing critical data on job roles, salaries, qualifications, locations, and company profiles. This dataset serves as a valuable resource for understanding global employment trends and patterns in various industries.

Objective

The primary objective of analyzing this dataset is to gain actionable insights into job market dynamics, including in-demand skills, salary ranges by role, preferred qualifications, and geographical job distributions. This analysis can empower job seekers, recruiters, and businesses to make informed decisions.

Key Features

1. Diverse Job Roles: Includes details for various professions like Network Engineers, Software Testers, UX/UI Designers, and more.
2. Global Scope: Covers jobs from diverse locations, spanning countries and industries worldwide.
3. Comprehensive Data Points: Provides salary ranges, qualifications, job types, company profiles, and benefits offered.
4. Temporal Data: Captures job posting dates to understand trends over time.
5. Skills and Responsibilities: Details required skills and responsibilities, aiding in understanding role-specific requirements.

Benefits for Data Science

• Predictive Modeling: Build models to predict salaries, skill demands, or the probability of job fulfillment.
• Trend Analysis: Identify trends in job roles, qualifications, and compensation.
• Geospatial Analysis: Map job distributions to uncover opportunities in specific regions.
• Clustering & Segmentation: Segment jobs by industry, role, or qualifications for targeted insights.
• Skill Gap Identification: Analyze skill requirements to identify gaps between current offerings and market demands.

This dataset is a goldmine for extracting insights that can optimize recruitment strategies, guide career planning, and inform educational initiatives.

Job Dataset

This dataset provides a comprehensive collection of synthetic job postings to facilitate research and analysis in the field of job market trends, natural language processing (NLP), and machine learning. Created for educational and research purposes, this dataset offers a diverse set of job listings across various industries and job types.

Descriptions for each of the columns in the dataset:

1. Job Id: A unique identifier for each job posting.
2. Experience: The required or preferred years of experience for the job.
3. Qualifications: The educational qualifications needed for the job.
4. Salary Range: The range of salaries or compensation offered for the position.
5. Location: The city or area where the job is located.
6. Country: The country where the job is located.
7. Latitude: The latitude coordinate of the job location.
8. Longitude: The longitude coordinate of the job location.
9. Work Type: The type of employment (e.g., full-time, part-time, contract).
10. Company Size: The approximate size or scale of the hiring company.
11. Job Posting Date: The date when the job posting was made public.
12. Preference: Special preferences or requirements for applicants (e.g., Only Male or Only Female, or Both)
13. Contact Person: The name of the contact person or recruiter for the job.
14. Contact: Contact information for job inquiries.
15. Job Title: The job title or position being advertised.
16. Role: The role or category of the job (e.g., software developer, marketing manager).
17. Job Portal: The platform or website where the job was posted.
18. Job Description: A detailed description of the job responsibilities and requirements.
19. Benefits: Information about benefits offered with the job (e.g., health insurance, retirement plans).
20. Skills: The skills or qualifications required for the job.
21. Responsibilities: Specific responsibilities and duties associated with the job.
22. Company Name: The name of the hiring company.
23. Company Profile: A brief overview of the company's background and mission.

Potential Use Cases:

• Building predictive models to forecast job market trends.
• Enhancing job recommendation systems for job seekers.
• Developing NLP models for resume parsing and job matching.
• Analyzing regional job market disparities and opportunities.
• Exploring salary prediction models for various job roles.

Acknowledgements:

We would like to express our gratitude to the Python Faker library for its invaluable contribution to the dataset generation process. Additionally, we appreciate the guidance provided by ChatGPT in fine-tuning the dataset, ensuring its quality, and adhering to ethical standards.

Note:

Please note that the examples provided are fictional and for illustrative purposes. You can tailor the descriptions and examples to match the specifics of your dataset. It is not suitable for real-world applications and should only be used within the scope of research and experimentation. You can also reach me via email at: rrana157@gmail.com

Discover the "Job.com USA Jobs Dataset," a detailed resource that provides an in-depth look at the job market in the United States.

This dataset is sourced from Job.com, a leading employment platform in the USA, and includes comprehensive information on job listings across various industries and regions.

Key Features:

• Extensive Job Listings: Features a wide range of job postings from different sectors and industries, offering a comprehensive overview of employment opportunities across the United States.
• Detailed Information: Each listing includes important details such as job titles, company names, job descriptions, locations, employment types (full-time, part-time, remote, contract), required qualifications, and salary data.
• Insights into Market Trends: Analyze current trends in the US job market, including in-demand skills, leading employers, popular job roles, and geographic distribution of job opportunities.
• Ideal for Research and Analysis: This dataset is perfect for researchers, HR professionals, and data analysts interested in studying labor market trends, developing recruitment strategies, or understanding the employment dynamics in the USA.

The Job.com USA Jobs Dataset offers valuable insights into the American job market, making it a crucial resource for job seekers, employers, and researchers alike. Use this dataset to stay ahead of market trends, explore employment opportunities, and gain a deeper understanding of job market dynamics in the United States.

In 2025, it was estimated that over 163 million Americans were in some form of employment, while 4.16 percent of the total workforce was unemployed. This was the lowest unemployment rate since the 1950s, although these figures are expected to rise in 2023 and beyond. 1980s-2010s Since the 1980s, the total United States labor force has generally risen as the population has grown, however, the annual average unemployment rate has fluctuated significantly, usually increasing in times of crisis, before falling more slowly during periods of recovery and economic stability. For example, unemployment peaked at 9.7 percent during the early 1980s recession, which was largely caused by the ripple effects of the Iranian Revolution on global oil prices and inflation. Other notable spikes came during the early 1990s; again, largely due to inflation caused by another oil shock, and during the early 2000s recession. The Great Recession then saw the U.S. unemployment rate soar to 9.6 percent, following the collapse of the U.S. housing market and its impact on the banking sector, and it was not until 2016 that unemployment returned to pre-recession levels. 2020s 2019 had marked a decade-long low in unemployment, before the economic impact of the Covid-19 pandemic saw the sharpest year-on-year increase in unemployment since the Great Depression, and the total number of workers fell by almost 10 million people. Despite the continuation of the pandemic in the years that followed, alongside the associated supply-chain issues and onset of the inflation crisis, unemployment reached just 3.67 percent in 2022 - current projections are for this figure to rise in 2023 and the years that follow, although these forecasts are subject to change if recent years are anything to go by.

Explore the "CareerBuilder US Jobs Dataset – August 2021," a valuable resource for understanding the dynamics of the American job market.

This dataset features detailed job listings from CareerBuilder, one of the largest employment websites in the United States, and provides a comprehensive snapshot of job postings as of August 2021.

Key Features:

• Extensive Job Listings: Includes thousands of job postings across various industries and sectors, providing a broad view of employment opportunities in the US.
• Detailed Information: Each listing contains essential details such as job titles, company names, locations, job descriptions, employment types (full-time, part-time, contract), required qualifications, and salary ranges.
• Insights into Trends: Analyze trends in employment, including the most in-demand skills, top hiring companies, popular job roles, and geographic distribution of job opportunities.
• Ideal for Research: This dataset is perfect for researchers, HR professionals, and data analysts interested in understanding the current state of the job market, developing recruitment strategies, or studying labor market dynamics.

By leveraging this dataset, you can gain valuable insights into the US job market as of August 2021, helping you stay ahead of industry trends and make informed decisions. Whether you're a job seeker, employer, or researcher, the CareerBuilder US Jobs Dataset offers a wealth of information to explore.

Employment Rate in the United States increased to 59.70 percent in September from 59.60 percent in August of 2025. This dataset provides - United States Employment Rate- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Data and analysis of Washington's employment conditions, economy, job market and workforce. These reports can help make informed career, hiring and policy decisions.

In 2025, there were estimated to be approximately *** billion people employed worldwide, compared to **** billion people in 1991 - an increase of around *** billion people. There was a noticeable fall in global employment between 2019 and 2020, when the number of employed people fell from due to the sudden economic shock caused by the COVID-19 pandemic. Formal vs. Informal employment globally Worldwide, there is a large gap between the informally and formally employed. Most informally employed workers reside in the Global South, especially Africa and Southeast Asia. Moreover, men are slightly more likely to be informally employed than women. The majority of informal work, nearly ** percent, is within the agricultural sector, with domestic work and construction following behind. Women’s employment As the number of employees has risen globally, so has the number of employed women. Overall, care roles such as nursing and midwifery have the highest shares of female employees globally. Moreover, while the gender pay gap has shrunk over time, it still exists. As of 2024, the uncontrolled gender pay gap was ****, meaning women made, on average, ** cents per every dollar earned by men.

The AI/ML industry is rapidly evolving, and companies worldwide are actively hiring Data Scientists, ML Engineers, AI Researchers, and Quant Analysts. This dataset provides 2,000+ synthetic but realistic job listings that capture important details like:

• Company information

• Industry domain

• Job titles & experience levels

• Required skills & tools

• Salary ranges (USD)

• Location & employment type

• Posting dates (2023–2025)

This dataset is designed to help researchers, students, and practitioners analyze trends in the AI job market and build real-world projects such as salary prediction, skill-demand analysis, and workforce analytics.

Techsalerator’s Job Openings Data in Latin America provides a thorough and insightful dataset designed to deliver businesses, recruiters, labor market analysts, and job seekers with a comprehensive view of employment opportunities across the Latin American region. This dataset aggregates job postings from a diverse array of sources on a daily basis, ensuring that users have access to the most current and extensive collection of job openings available throughout Latin America.

Key Features of the Dataset: Extensive Coverage:

The dataset aggregates job postings from a variety of sources, including company career sites, job boards, recruitment agencies, and professional networking platforms. This comprehensive coverage ensures that users receive a broad spectrum of job opportunities from multiple channels. Daily Updates:

Data is updated daily, providing real-time insights into job market conditions. This frequent updating ensures that the dataset reflects the latest job openings and market trends. Sector-Specific Data:

Job postings are categorized by industry sectors such as technology, healthcare, finance, education, manufacturing, and more. This segmentation allows users to analyze trends and opportunities within specific industries. Regional Breakdown:

Detailed information is provided on job openings across different countries and key regions within Latin America. This regional breakdown helps users understand job market dynamics and opportunities in various geographic areas. Role and Skill Analysis:

The dataset includes information on job roles, required skills, qualifications, and experience levels. This feature assists job seekers in identifying opportunities that match their expertise and helps recruiters find candidates with the desired skill sets. Company Insights:

Users can access information about the companies posting job openings, including company names, industries, and locations. This data provides insights into which companies are hiring and where demand for talent is highest. Historical Data:

The dataset may include historical job posting data, enabling users to perform trend analysis and comparative studies over time. This feature supports understanding changes and developments in the job market. Latin American Countries Covered: South America: Argentina Bolivia Brazil Chile Colombia Ecuador Guyana Paraguay Peru Suriname Uruguay Venezuela Central America: Belize Costa Rica El Salvador Guatemala Honduras Nicaragua Panama Caribbean: Cuba Dominican Republic Haiti (Note: Primarily French-speaking, but included due to geographic and cultural ties) Jamaica Trinidad and Tobago Benefits of the Dataset: Strategic Recruitment: Recruiters and HR professionals can use the data to identify hiring trends, understand competitive practices, and optimize their recruitment strategies based on real-time market insights. Labor Market Analysis: Analysts and policymakers can leverage the dataset to study employment trends, identify skill gaps, and evaluate job market opportunities across different regions and sectors. Job Seeker Support: Job seekers can access a comprehensive and updated list of job openings tailored to their skills and preferred locations, enhancing the efficiency and effectiveness of their job search. Workforce Planning: Companies can gain valuable insights into the availability of talent across Latin America, assisting with decisions related to market entry, expansion, and talent acquisition. Techsalerator’s Job Openings Data in Latin America is an essential tool for understanding the diverse and evolving job markets across the region. By providing up-to-date and detailed information on job postings, it supports effective decision-making for businesses, job seekers, and labor market analysts.

Job Search Engines Market size was valued at USD 19.14 Billion in 2024 and is projected to reach USD 105.4 Billion by 2031, growing at a CAGR of 14.2% during the forecast period 2024-2031.

Rising Employment Opportunities: As economies around the world expand, businesses scale up operations, subsequently creating more job opportunities. This growth in employment facilitates a greater need for efficient job search engines to match job seekers with potential employers. Certain sectors such as technology, healthcare, and renewable energy are growing rapidly, leading to an increase in job vacancies. Specialized job search engines cater to these niches, driving market growth. Populous countries with large, young workforces contribute to the increased number of job seekers utilizing job search engines. Growing Internet Penetration: As internet access becomes more widespread globally, more individuals can use online platforms, including job search engines. This is particularly notable in developing regions where internet adoption is accelerating. Lower costs of internet services and devices have made it more feasible for a broader audience to go online, boosting the user base for job search engines. The availability of high-speed internet makes the use of job search engines more convenient and effective, supporting features such as real-time notifications and the ability to upload and download large files (e.g., resumes and portfolios). Shift to Digital Recruitment: The integration of data analytics and AI in recruitment processes enables job search engines to offer more personalized and streamlined experiences for both job seekers and employers. Improved algorithms and machine learning facilitate better job-candidate matching, increasing the effectiveness and appeal of digital recruitment platforms. Digital platforms reduce the costs associated with traditional recruitment methods (e.g., print advertising and in-person job fairs). Employers benefit from decreased hiring costs, while job search engines profit from increased business. Increased Mobile Device Usage: With the global proliferation of smartphones, a significant portion of job searches is conducted via mobile apps and mobile-optimized websites. Job search engines that offer robust mobile platforms are experiencing higher engagement. Mobile devices provide unparalleled flexibility and convenience, allowing users to search for jobs, set up alerts, and apply for positions from anywhere, at any time. Innovative mobile apps designed by job search engines offer features such as GPS-based job searches, voice and video interviews, and chat support, which enhance the user experience. Technological Advancements: Innovations in AI, machine learning, and big data analytics enhance the functionality of job search engines, providing personalized job recommendations and improving match accuracy.

Remote Work Trends: The rise of remote work opportunities, especially post-pandemic, has increased the demand for job search engines that specialize in remote and freelance job listings.

Employer Branding: Companies use job search engines to build and promote their employer brand, attracting top talent by showcasing their work culture, benefits, and career opportunities.

Government Initiatives: Supportive government policies and initiatives aimed at reducing unemployment and promoting job creation boost the usage of job search engines.

Gig Economy Growth: The expanding gig economy, characterized by short-term contracts and freelance work, drives the need for specialized job search engines catering to gig workers.

Globalization and Cross-Border Employment: Increasing globalization and the trend of cross-border employment necessitate job search engines that facilitate international job searches and candidate sourcing.

The Employment Projections (EP) program develops information about the labor market for the Nation as a whole for 10 years in the future. For more information visit: https://www.bls.gov/emp/

Between 2023 and 2027, the majority of companies surveyed worldwide expect big data to have a more positive than negative impact on the global job market and employment, with ** percent of the companies reporting the technology will create jobs and * percent expecting the technology to displace jobs. Meanwhile, artificial intelligence (AI) is expected to result in more significant labor market disruptions, with ** percent of organizations expecting the technology to displace jobs and ** percent expecting AI to create jobs.

Discover the "SEEK Australian Jobs Dataset," a valuable resource that provides an in-depth look at the job market in Australia.

This dataset features detailed job listings from SEEK, Australia's leading employment marketplace, and offers comprehensive insights into job postings across various industries and regions.

Key Features:

• Extensive Job Listings: Includes a wide range of job postings from various sectors and industries, providing a broad perspective on employment opportunities in Australia.
• Detailed Information: Each listing contains essential details such as job titles, company names, job descriptions, locations, employment types (full-time, part-time, casual), required qualifications, and salary ranges.
• Insights into Trends: Analyze trends in the Australian job market, including the most sought-after skills, top hiring companies, popular job roles, and regional distribution of job opportunities.
• Ideal for Research: This dataset is ideal for researchers, HR professionals, and data analysts looking to understand the current state of the job market, develop recruitment strategies, or study labor market trends in Australia.

Leverage the SEEK Australian Jobs Dataset to gain valuable insights into the job market, stay updated with industry trends, and make informed decisions. Whether you are a job seeker, employer, or researcher, this dataset provides a wealth of information to explore the dynamics of employment in Australia.

The dataset provided by Tarta.ai, created in February 2023, contains information on the number of jobs by company and city in California. The data provides a comprehensive view of the job market, highlighting the companies and cities that have the highest number of job opportunities.

The dataset includes a list of companies and the number of jobs they offer in different cities.

The dataset provides valuable insights for job seekers, employers, and policymakers. It can help job seekers to identify companies and cities with the highest job opportunities in their preferred industry and location. Employers can use the data to understand the competitive landscape and adjust their recruitment strategies accordingly. Policymakers can leverage the information to develop policies that promote job growth and economic development in different regions.

Overall, the Tarta.ai dataset is a valuable resource for anyone interested in the job market and provides a comprehensive view of the employment landscape across different industries and regions.

Dataset Columns:

1. Company name
2. City
3. State
4. Number of active jobs

American employees were the most optimistic about job opportunities in 2022, as ** percent of them believed that there were plenty of good jobs available. The global average was a little bit lower, with ** percent of respondents believing in availability of good jobs.

https://fistfuloftalent.com/wp-content/uploads/2019/05/Screen-Shot-2019-05-22-at-9.06.45-AM-1073x602.png">

The Bangladeshi Job Market Dataset contains data on job listings from three Bangladeshi job websites: bdjobs.com, Careerjet.com, and Skilljobs.com. The dataset includes information such as job title, company name, job location, job category, salary range (where available), and job description. The data was scraped in 2023 and covers a wide range of industries and job types in Bangladesh.

bdjobs : Bdjobs.com Ltd. is the first and leading career management site in the country. Eight young business and IT professional backed by strong command over e-business and in-depth understanding of the needs of job seekers and employers in the country's context started this venture on July 2000.

The vision of the company is to try bringing Internet technology in the mainstream business and economic life of the society.

The web-site aims to explore maximum benefits of the Internet. This site will also help employers solve many of the problems associated with traditional recruiting methods and allow them to save time and money.

Right after its launching, the site has been able to attract the Internet users in the country. The site regularly updates Job Information (on average more than 4500 valid job news are placed at any point of time at the site), provides facility to the job seekers for posting resume and online application. The site has also been able to get good response from a large number of organizations in the country who use online job advertisement facility, online CV bank access and online application receiving and processing facility of www.bdjobs.com. Till now, more than 45,000 employers in the country have recruited more than 1 million professionals at different.

Careerjet : Careerjet is a job search engine designed to make the process of finding a job on the internet easier for the user. It maps the huge selection of job offerings available on the internet in one extensive database by referencing job listings originating from job boards, recruitment agency websites and large specialist recruitment sites. Using a fast and straightforward interface, users can query this database and save themselves the trouble of visiting each site individually. The job offerings themselves are not hosted by Careerjet and users are always redirected to the original job listing. Essentially, Careerjet acts as traffic driver to those sites. Careerjet's job search engine network encompasses over 90 countries, featuring separate interfaces that are translated into 28 languages.

Skilljobs : Skill.Jobs has been developed focusing on our past 20+ experiences in the Global Job Market, particularly, the latest trends in the job field, skill matrix, technological advancement, demand and expectations of modern organizations. The organization has been originated from Jobsbd.com, the first ever job portal in Bangladesh and later renamed as Skill.Jobs simply to express the focus of the organizations and to concentrate more on its service patterns. The idea was to make our position more unique and specific while we work! Skill.jobs has started its operation simultaneously in Bangladesh and Malaysia and soon it's going to start same in Australia UK and UAE.

Skill.Jobs will work as a hub to prepare the job seekers for the relevant industries through enhancing and developing skills of job seekers, bring opportunity for the job seekers and advocate for them to the HR world. On the other hand, Skill.Jobs will make the task of HRD vey easy and simple through helping them to find the right candidate with required skills rather than forwarding huge database of job seekers.

The dataset provides valuable insights into the Bangladeshi job market and can be used by researchers, analysts, and job seekers to understand trends in the job market, identify skills in demand, and assess job opportunities in various regions of the country.

Before uploading the dataset to Kaggle, the data was preprocessed to ensure accuracy and consistency. The original data was cleaned, standardized, and formatted in a way that makes it easy to analyze and work with.

Note that this dataset is intended for educational and research purposes only and should not be used for commercial purposes without proper attribution and permissions from the original websites.

The dataset provided by Tarta.ai, created in February 2023, contains information on the number of jobs by company and city in Missouri. The data provides a comprehensive view of the job market, highlighting the companies and cities that have the highest number of job opportunities.

The dataset includes a list of companies and the number of jobs they offer in different cities.

The dataset provides valuable insights for job seekers, employers, and policymakers. It can help job seekers to identify companies and cities with the highest job opportunities in their preferred industry and location. Employers can use the data to understand the competitive landscape and adjust their recruitment strategies accordingly. Policymakers can leverage the information to develop policies that promote job growth and economic development in different regions.

Overall, the Tarta.ai dataset is a valuable resource for anyone interested in the job market and provides a comprehensive view of the employment landscape across different industries and regions.

Dataset Columns:

1. Company name
2. City
3. State
4. Number of active jobs

Explore the "Naukri Job Listings Dataset," a rich resource providing detailed information on the job market in India.

This dataset includes job postings from Naukri.com, one of India’s leading job portals, and offers comprehensive data across various industries and locations.

Key Features:

• Extensive Job Listings: Contains a wide range of job postings from different sectors and industries, giving a holistic view of employment opportunities in India.
• Detailed Information: Each listing includes crucial details such as job titles, company names, job descriptions, locations, employment types (full-time, part-time, contract), required qualifications, and salary information.
• Insights into Trends: Analyze the latest trends in the Indian job market, including in-demand skills, top hiring companies, popular job roles, and regional employment patterns.
• Ideal for Research: This dataset is perfect for researchers, HR professionals, and data analysts interested in studying labor market trends, developing recruitment strategies, or understanding the dynamics of employment in India.

Utilize the Naukri Job Listings Dataset to gain valuable insights into the Indian job market, helping you stay ahead of trends and make informed decisions. Whether you are a job seeker, employer, or researcher, this dataset provides a wealth of information on job opportunities and market dynamics in India.

This dataset offers a detailed collection of job listings from LinkedIn, covering the period from August 1st to August 15th, 2023. With nearly 3 million records, this dataset is an invaluable resource for professionals in human resources, labor market analysis, data science, and related fields who are looking to explore job market trends, analyze skills demand, and study employment opportunities across a broad range of industries.

Key Features:

Job Information: Includes job titles, descriptions, categories, and unique job identifiers, offering detailed insights into the nature of the job postings. Company Data: Comprehensive information about the hiring companies, including names, industries, and locations. Job Requirements: Data on necessary skills, qualifications, experience levels, and types of employment. Geographic Coverage: Extensive details on job locations across various countries and regions, making it possible to conduct geographic analyses of job opportunities. Application Details: Information regarding application processes and deadlines where available. Time of Data Collection: Each job listing is time-stamped, reflecting the active job postings on LinkedIn between August 1st and August 15th, 2023.

Dataset Overview:

Price: $1500.0 Total Records Count: 2,862,984 Domain Name: LinkedIn Date Range: August 1st, 2023 - August 15th, 2023 File Extension: LDJSON (Line-Delimited JSON)

Use Cases:

Job Market Analysis: Delve into trends, skills demand, and emerging job roles across different industries for early August 2023. Recruitment Strategy Development: Improve recruitment approaches by understanding the competitive landscape and job posting dynamics. Skill Demand Insights: Identify which skills and qualifications were most in demand across various sectors during the data period. Labor Market Research: Conduct thorough research on employment trends, job availability, and distribution of job opportunities by region. Economic and Workforce Analysis: Use job listings data to gauge economic activity and workforce trends during this period.

About the Data Collection:

This dataset was meticulously compiled using advanced web scraping techniques to ensure accuracy, relevance, and comprehensive coverage. For those requiring custom datasets or specific data extraction from platforms like LinkedIn, PromptCloud provides tailored web scraping solutions. These services are designed to meet the unique data needs of businesses and researchers, delivering high-quality, structured data ready for analysis. https://www.promptcloud.com/contact/

Disclaimer: This dataset is provided for research and educational purposes only. Users must ensure their use of this data complies with LinkedIn’s terms of service and all relevant laws and regulations.