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.

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.

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.

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.

The 3-year Employment Outlooks consist of a rating (very good, good, moderate, limited or very limited) of the employment prospects as well as a narrative text that provides an assessment of the main forecast indicators, recent statistics, and value-added regional observations. Employment Outlooks are developed for each detailed occupation in all provinces, territories and economic regions of Canada, where data permits. They are updated annually. The Employment Outlooks developed until the 2015-2017 period were assessed on the basis of the National Occupational Classification (NOC) 2006, and include up to 520 occupations. Beginning with the 2016-2018 Outlooks, the NOC 2011 is used for the analysis and the Outlooks include up to 500 occupations. Outlooks and trend descriptions for the latest year (currently disseminated on Job Bank) are subject to change as new information becomes available. Every effort will be made to keep the records on the Open Data Portal as up to date as possible, though delays may occur. If you have comments or questions regarding the 3-year Employment Outlooks, please contact the Labour Market Information division at: NC-LMI-IMT-GD@hrsdc-rhdcc.gc.ca

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 "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.

Techsalerator’s Job Openings Data in Africa offers a comprehensive and insightful dataset designed to provide businesses, recruiters, labor market analysts, and job seekers with a thorough view of employment opportunities across the African continent. This dataset aggregates job postings from a wide range of sources on a daily basis, ensuring that users have access to the most current and extensive collection of job openings available throughout Africa.

Key Features of the Dataset: Broad Coverage:

The dataset aggregates job postings from numerous sources including company career pages, job boards, recruitment agencies, and professional networking sites. This extensive coverage ensures a broad spectrum of job opportunities from multiple channels. Daily Updates:

Job posting data is updated daily, providing real-time insights into the job market. 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 categorization allows users to analyze trends and opportunities within specific industries. Regional Breakdown:

The dataset includes detailed information on job openings across different countries and regions within Africa. This regional breakdown helps users understand job market dynamics and opportunities in various geographic locations. Role and Skill Insights:

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

Users can access details about the companies posting job openings, including company names, industries, and locations. This data provides insights into which companies are hiring and where the 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. African Countries Covered: Northern Africa: Algeria Egypt Libya Mauritania Morocco Sudan Tunisia Sub-Saharan Africa: West Africa: Benin Burkina Faso Cape Verde Ivory Coast (Côte d'Ivoire) Gambia Ghana Guinea Guinea-Bissau Liberia Mali Niger Nigeria Senegal Sierra Leone Togo Central Africa: Angola Cameroon Central African Republic Chad Congo, Republic of the Congo, Democratic Republic of the Equatorial Guinea Gabon São Tomé and Príncipe East Africa: Burundi Comoros Djibouti Eritrea Eswatini (Swaziland) Ethiopia Kenya Lesotho Malawi Mauritius Rwanda Seychelles Somalia Tanzania Uganda Southern Africa: Botswana Lesotho Namibia South Africa Swaziland (Eswatini) Zimbabwe Benefits of the Dataset: Enhanced Recruitment Strategies: Recruiters and HR professionals can use the dataset to identify hiring trends, understand competitive practices, and refine 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, making their job search more efficient and targeted. Strategic Workforce Planning: Companies can gain valuable insights into the availability of talent across Africa, assisting with decisions related to market expansion, office locations, and talent acquisition. Techsalerator’s Job Openings Data in Africa is a critical resource for understanding the diverse and evolving job markets across the continent. By providing up-to-date and detailed information on job postings, it supports effective decision-making for businesses, job seekers, and labor market analysts.

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.

Job Trends in Australia

Insight into Job Types, Salaries and Growth Across States

By [source]

About this dataset

This dataset provides an insightful look into the Australian job market and the country's current trend of economic development. It consists of 30000 unique job postings from SEEK Australia, a renowned job board in Australia, offering valuable insights regarding salaries, job types, and openings across cities and states.

The data allows researchers to compare which type of jobs are offered across different locations, providing critical information on which cities or states offer particular kinds of jobs. Moreover, it offers a framework that can be used to understand how different companies compare when it comes to salaries and hiring practices. In addition, this dataset provides an in-depth view into what type of job openings there are in each city or state and their respective salaries. All this is available through reliable columns such as city, state, company name, salary offered & url enabling effective analysis and providing consumers with much needed knowledge about their potential employment opportunities in the market

More Datasets

For more datasets, click here.

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How to use the dataset

This dataset can be used to gain insights into the Australian job market – from job types, salaries, and locations to trends in growth across states. To get started working with this data, you will need to download the dataset from Kaggle.

Once you have the dataset downloaded, it is important to become familiar with the different fields available as these will influence what kind of analysis you can do. The columns include category, city, company name, geo coordinates (for location-based analysis), job board (to determine where these jobs were posted), job description (to find relevant keywords and topics related with each position), job title (to search for specific jobs or trends in titles over time), job type (i.e full time/part-time etc.), posting date and salary offered.

You can further filter your results based on any combination of these different column values to get more targeted information about a certain area or topic that you are researching on. Additionally, visualizing certain elements such as salary ranges by region/job type may be helpful for gaining a wide understanding of Australia’s labor landscape in various sectors and cities.

Finally, it may also be useful to look at how salaries might have changed over time by comparing postings from 2 different years for example which could help identify employment growth areas or opportunities for businesses looking to set up shop in certain regions etc

Research Ideas

• Analyzing Salary Trends: By investigating the salaries of various job postings, researchers can gain insights on wage growth and wage disparities across different cities and states in Australia.
• Comparing Job Types & Salaries: Researchers can observe which cities offer higher salaries for particular job types and also get an understanding of what is expected from potential applicants.
• Tracking Job Market Growth: By using data from the years before, it is possible to identify which areas have seen the most growth in terms of job opportunities and how that compares with other areas in Australia

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: seek_australia.csv | Column name | Description | |:--------------------|:------------------------------------------------------------| | category | The category of the job posting. (String) | | city | The city in which the job is located. (String) | | company_name | The name of the company offering the job. (String) | | geo | The geographic coordinates of the job location. (String) | | job_board | The job board on which the job was posted. (String) | | job_description | The description of the job. (String) | | job_title | The title of the job. (...

Introducing Job Posting Datasets: Uncover labor market insights!

Elevate your recruitment strategies, forecast future labor industry trends, and unearth investment opportunities with Job Posting Datasets.

Job Posting Datasets Source:

1. Indeed: Access datasets from Indeed, a leading employment website known for its comprehensive job listings.

2. Glassdoor: Receive ready-to-use employee reviews, salary ranges, and job openings from Glassdoor.

3. StackShare: Access StackShare datasets to make data-driven technology decisions.

Job Posting Datasets provide meticulously acquired and parsed data, freeing you to focus on analysis. You'll receive clean, structured, ready-to-use job posting data, including job titles, company names, seniority levels, industries, locations, salaries, and employment types.

Choose your preferred dataset delivery options for convenience:

Receive datasets in various formats, including CSV, JSON, and more. Opt for storage solutions such as AWS S3, Google Cloud Storage, and more. Customize data delivery frequencies, whether one-time or per your agreed schedule.

Why Choose Oxylabs Job Posting Datasets:

1. Fresh and accurate data: Access clean and structured job posting datasets collected by our seasoned web scraping professionals, enabling you to dive into analysis.

2. Time and resource savings: Focus on data analysis and your core business objectives while we efficiently handle the data extraction process cost-effectively.

3. Customized solutions: Tailor our approach to your business needs, ensuring your goals are met.

4. Legal compliance: Partner with a trusted leader in ethical data collection. Oxylabs is a founding member of the Ethical Web Data Collection Initiative, aligning with GDPR and CCPA best practices.

Pricing Options:

Standard Datasets: choose from various ready-to-use datasets with standardized data schemas, priced from $1,000/month.

Custom Datasets: Tailor datasets from any public web domain to your unique business needs. Contact our sales team for custom pricing.

Experience a seamless journey with Oxylabs:

• Understanding your data needs: We work closely to understand your business nature and daily operations, defining your unique data requirements.
• Developing a customized solution: Our experts create a custom framework to extract public data using our in-house web scraping infrastructure.
• Delivering data sample: We provide a sample for your feedback on data quality and the entire delivery process.
• Continuous data delivery: We continuously collect public data and deliver custom datasets per the agreed frequency.

Effortlessly access fresh job posting data with Oxylabs Job Posting Datasets.

This statistic shows the leading job-growth sectors in the United States between 2018 and 2028, ranked by the number of jobs forecast to be created over this period. It is estimated that around ***** million new jobs will be created in the health care and social assistance sector during this time period.

The Occupational Outlook Handbook (OOH) is a nationally recognized source of career information, designed to provide valuable assistance to individuals making decisions about their future work lives. The Handbook is revised every two years. The OOH offers information on the hundreds of occupations that provide the majority of jobs in the United States. Each occupational profile describes the typical duties performed by the occupation, the work environment of that occupation, the typical education and training needed to enter the occupation, the median pay for workers in the occupation, and the job outlook over the coming decade for that occupation. For information on occupations, please visit: https://www.bls.gov/ooh/

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/

Part-time Job Platform Market Outlook

As of 2023, the global part-time job platform market size is estimated at USD 5.2 billion, with a forecasted CAGR of 8.4% from 2024 to 2032, leading to an anticipated market size of approximately USD 10.4 billion by 2032. The growth of this market is largely fueled by the increasing demand for flexible work arrangements and the rising prevalence of digital platforms that facilitate job matching between employers and part-time employees.

One of the primary growth factors for the part-time job platform market is the shifting workforce dynamics. Traditional full-time employment is increasingly giving way to more flexible work arrangements, driven by both employer needs for cost-efficiency and employee desires for better work-life balance. This shift is particularly evident among younger generations, who prioritize flexibility and autonomy in their careers. Additionally, the rise of the gig economy has accelerated the adoption of part-time job platforms, as more individuals seek temporary or freelance work as opposed to long-term employment commitments.

Technological advancements have also played a crucial role in the expansion of the part-time job platform market. The proliferation of high-speed internet and mobile technology has enabled the development of sophisticated platforms that can efficiently match job seekers with part-time opportunities. These platforms often incorporate advanced algorithms and artificial intelligence to enhance the accuracy of job matching, thereby improving user experience and satisfaction. Furthermore, the integration of secure payment systems and user-friendly interfaces has made these platforms more accessible and appealing to a broad audience.

Another significant growth driver is the increasing participation of retirees in the part-time workforce. As life expectancy rises, many retirees are opting to continue working part-time to stay active and supplement their retirement income. Part-time job platforms provide an ideal solution for retirees seeking flexible work opportunities without the demands of a full-time job. Additionally, economic factors such as the rising cost of living and financial instability have compelled more individuals to seek part-time work as a means of financial support, further fueling market growth.

The concept of Temporary Labor is becoming increasingly significant in the part-time job platform market. As companies strive to remain agile and responsive to market demands, they often turn to temporary labor solutions to fill short-term needs without the long-term commitment of permanent hires. This approach not only helps businesses manage fluctuating workloads but also provides workers with the opportunity to gain diverse experiences across different industries. Temporary labor is particularly appealing in sectors like retail and hospitality, where demand can vary significantly based on seasons and events. The flexibility offered by temporary positions aligns well with the growing preference for non-traditional work arrangements, making it a crucial component of the evolving job market landscape.

The regional outlook for the part-time job platform market highlights notable differences across various geographies. North America and Europe are leading markets due to their advanced economies, higher internet penetration rates, and well-established gig economies. Meanwhile, the Asia Pacific region is expected to experience the fastest growth, driven by rapid urbanization, increasing smartphone adoption, and a large youthful population entering the workforce. Latin America and the Middle East & Africa are also poised for growth, although at a slower pace, due to emerging economies and improving digital infrastructure.

Job Type Analysis

The part-time job platform market can be segmented by job type into remote and on-site jobs. Remote part-time jobs have gained immense popularity, especially in the wake of the COVID-19 pandemic, which forced many businesses to adopt remote work policies. This segment is expected to experience significant growth as companies continue to recognize the benefits of remote work, such as reduced overhead costs and access to a broader talent pool. Moreover, employees have shown a strong preference for remote work due to increased flexibility and the elimination of commuting time.

On the other hand, on-site part-time jobs still hold a substantial share of the market, particularly in industr

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.

Blockchain expert will be the most in-demand profession in the future Spanish job market as of 2020, with 6.79 percent of jobs offered. Machine learning specialist and health and welfare specialist ranked second and third respectively with over 5 percent each. The future job market presents a very different outlook compared to the present job market; in 2019 the most in-demand job in Spain was sales representative.

Long-term Occupational Projections for a 10-year time horizon are provided for the State and its labor market regions to provide individuals and organizations with an occupational outlook to make informed decisions on individual career and organizational program development. Long-term projections are revised annually. Data are not available for geographies below the labor market regions. Detail may not add to summary lines due to suppression of data because of confidentiality and/or quality.

This dataset provides a comprehensive view of the job market in California, highlighting companies and cities with the highest number of job opportunities. Created by JoPilot, it contains valuable information for anyone interested in the employment landscape across different industries and regions. It includes key information such as:

• Company name • City • State • Number of active jobs

For job seekers, employers, and researchers, this resource can be particularly useful in several ways:

1. Identifying hot job markets: The data highlights cities with the highest number of job openings, helping job seekers focus their search on areas with more opportunities.
2. Company targeting: By showing which companies have the most active job listings, the dataset allows job seekers to target their applications to organizations that are actively hiring.
3. Industry trends: The information can reveal which industries or sectors are experiencing growth in California, guiding career decisions and educational pursuits.
4. Regional comparisons: Users can compare job markets across different California cities and regions, which is valuable for those considering relocation or analyzing economic trends.
5. Skill alignment: While the dataset doesn't directly provide skill requirements, it can be used alongside other resources to align job seekers' skills with in-demand positions.

For a more comprehensive job search strategy, consider complementing this dataset with additional resources such as the California Labor Market Information tools, which offer detailed insights into wages, employment projections, and industry-specific data.

Deduplicated aggregated job data by area and occupation with salary data. Data is available for USA and territories by FIPS area codes, ONET occupation code, NAIC industry code, education group, and experience group, with USD salary information by month, quarter, and year time frames. Data includes aggregations for both active jobs in given time frame and those first posted in given time frame.

1B+ job posts 42k+ job sources 5M+ unique employers 4.8M new jobs per month 18 years of data

At iQuery, we provide unparalleled insight into the labor market through our proprietary aggregated jobs data. By combining historical data with real-time job postings, our platform captures employment trends as they unfold—offering powerful predictive capabilities for workforce analysis, planning, and development.

Our specialized team of developers processes and refines 7 to 10 million job listings daily, collected from a wide array of online sources including public and private job boards, government portals, healthcare systems, and various other employment websites. We ensure data freshness by validating and de-duplicating postings and conducting daily checks to confirm their active status—making our datasets among the most accurate and current in the industry.

Our dedicated Data Services Team enhances the dataset by assigning standardized taxonomy codes for occupation (ONET), employer industry (NAICS), location (FIPS), education level, and experience requirements. We also offer crosswalk capabilities between Classification of Instructional Programs (CIP) codes and federal taxonomies, enabling education providers to align curricula with real-time and projected workforce needs. Our proprietary taxonomy extends to skills, tools, and certifications, further enriching each job posting for granular labor market analysis.

With a comprehensive blend of real-time and historical data, our platform supports economic development by tracking workforce dynamics across occupations, industries, and skill sets. Our in-house economist and analysts generate reliable labor market forecasts—including unemployment trends—often outperforming traditional forecasting models.

Our data empowers a wide range of stakeholders:

Governments can assess local labor supply to attract employers and inform policy. Researchers can uncover trends and model future workforce shifts. Employers can locate optimal labor pools for hiring needs. Colleges and universities can tailor programs and credentials to match employer demand in specific regions. iQuery delivers a data-rich foundation for workforce planning, policy development, and educational alignment—driving smarter decisions in a dynamic labor market.