In April 2025, the BA-X labor index was ***, which was not a significant change compared to the previous month. The BA-X labor index tracks the demand for manpower in the labor market. It gathers the data from job openings rather than surveys or other assessments.

China City Labor Market: Demand data was reported at 4,687.000 Person th in Sep 2022. This records an increase from the previous number of 4,492.000 Person th for Jun 2022. China City Labor Market: Demand data is updated quarterly, averaging 4,788.862 Person th from Mar 2001 (Median) to Sep 2022, with 86 observations. The data reached an all-time high of 6,682.486 Person th in Sep 2010 and a record low of 856.007 Person th in Mar 2001. China City Labor Market: Demand data remains active status in CEIC and is reported by Ministry of Human Resources and Social Security. The data is categorized under China Premium Database’s Labour Market – Table CN.GJ: City Labor Market: Demand of Labour.

City Labor Market: Demand-Supply Ratio: Xining data was reported at 1.280 NA in Mar 2015. This records an increase from the previous number of 1.100 NA for Sep 2014. City Labor Market: Demand-Supply Ratio: Xining data is updated quarterly, averaging 0.955 NA from Sep 2001 to Mar 2015, with 18 observations. The data reached an all-time high of 1.280 NA in Mar 2015 and a record low of 0.470 NA in Sep 2001. City Labor Market: Demand-Supply Ratio: Xining data remains active status in CEIC and is reported by Ministry of Human Resources and Social Security. The data is categorized under China Premium Database’s Labour Market – Table CN.GJ: City Labor Market: Demand-Supply Ratio.

China City Labor Market: Demand: Male or Female data was reported at 2,271.953 Person th in Mar 2014. This records an increase from the previous number of 1,825.389 Person th for Dec 2013. China City Labor Market: Demand: Male or Female data is updated quarterly, averaging 1,119.227 Person th from Mar 2001 (Median) to Mar 2014, with 53 observations. The data reached an all-time high of 2,357.925 Person th in Sep 2010 and a record low of 287.858 Person th in Mar 2001. China City Labor Market: Demand: Male or Female data remains active status in CEIC and is reported by Ministry of Human Resources and Social Security. The data is categorized under China Premium Database’s Labour Market – Table CN.GJ: City Labor Market: Demand of Labour.

Temporary Labor Market Outlook

The global temporary labor market size was valued at approximately $500 billion in 2023 and is projected to reach around $780 billion by 2032, growing at a compound annual growth rate (CAGR) of 5.1%. This growth is attributed to an increasing demand for flexible workforce solutions across various industry verticals and the rising need for cost-effective labor options amidst fluctuating economic conditions. The expanding gig economy and advancements in technology that facilitate remote work and temporary hiring processes are also significant contributing factors.

One of the primary growth drivers in the temporary labor market is the increasing preference for flexible work arrangements. Modern businesses are continuously seeking ways to adapt to market demands without the long-term commitment of permanent hires. Temporary labor allows companies to scale their workforce up or down based on project needs, seasonal demands, or economic conditions. This flexibility is particularly crucial in industries with high variability in workload, such as retail and hospitality, where demand can surge during certain periods and wane during others.

Another critical factor contributing to the growth of the temporary labor market is the rising trend of specialization within the workforce. As industries evolve, the demand for highly specialized skills has increased. Temporary labor provides a solution for companies needing niche expertise for specific projects or limited durations. For instance, in the IT and telecommunications sector, temporary professionals with specialized skills can be brought in to manage projects such as software development or network upgrades, ensuring that the company remains competitive without the need for permanent hires.

Technological advancements have also played a pivotal role in the expansion of the temporary labor market. Platforms and online marketplaces have emerged, making it easier for employers to connect with temporary workers and for workers to find short-term employment opportunities. These technologies streamline the hiring process, reduce overhead costs, and ensure a better match between employers' needs and workers' skills. Additionally, the growth of remote work enables businesses to hire temporary labor from a global talent pool, further enhancing their operational flexibility.

Temporary Healthcare Staffing has emerged as a critical component within the broader temporary labor market, particularly in response to the dynamic needs of the healthcare industry. The demand for temporary healthcare professionals, such as nurses, medical technicians, and administrative staff, is driven by the necessity to address staffing shortages and manage fluctuating patient care demands. This flexibility is essential for healthcare facilities to maintain high standards of care, especially during peak periods or unforeseen circumstances, such as public health emergencies. Temporary healthcare staffing not only provides a solution to immediate staffing gaps but also allows healthcare providers to access specialized skills and expertise without the long-term commitment of permanent hires.

Regionally, North America remains a significant player in the temporary labor market, driven by a well-established gig economy and a high rate of technological adoption. The Asia Pacific region is expected to experience the fastest growth, with countries like India and China leading the way due to their large labor force and rapidly expanding industries. Europe also shows robust demand for temporary labor, especially in sectors like manufacturing and healthcare. The Middle East & Africa and Latin America, while smaller in market size, are gradually catching up as businesses in these regions recognize the benefits of flexible labor solutions.

Employment Type Analysis

When segmented by employment type, the temporary labor market can be broadly categorized into skilled labor, unskilled labor, and professional services. Skilled labor includes workers who have specific skills or training, such as electricians, plumbers, and machine operators. This segment is crucial for industries that require precision and expertise, like construction and manufacturing. The demand for skilled labor is robust, driven by ongoing infrastructure projects and the need for specialized trades that cannot be easily automated.

Unskilled labor, on the other hand, comprises workers who pe

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.

The Data Science job market has been expanding rapidly over the past few years, and projections for 2025 indicate that this growth will continue at an impressive pace. This dataset contains over 7,000 job opportunities in 2025, mainly gathered from India. However, it provides valuable insights into the skills in demand globally.

This dataset offers real-world insights into the latest in-demand skills such as Python, SQL, machine learning, and AI, helping data scientists navigate the evolving job market. It highlights key job trends, market-demanded skills, and location-based opportunities.

** If you find this dataset helpful, please don't forget to upvote **

Dataset Attributes:

Job Title: The position being offered (e.g., Data Scientist, Data Analyst). Company Name: The name of the hiring company. Location: Geographical location of the job (e.g., Chennai, Bengaluru). Experience: The required years of experience (e.g., 0-1 Years, 2-5 Years). Job Description: A brief description of the job role and responsibilities. Skills: The key technical and soft skills required for the job (e.g., Python, SQL, Machine Learning). Job Post Day: The date when the job was posted.

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.

China City Labor Market: Demand-Supply Ratio: Xi'an data was reported at 1.690 NA in Sep 2021. This records a decrease from the previous number of 2.330 NA for Jun 2021. China City Labor Market: Demand-Supply Ratio: Xi'an data is updated quarterly, averaging 0.980 NA from Sep 2001 (Median) to Sep 2021, with 54 observations. The data reached an all-time high of 2.330 NA in Jun 2021 and a record low of 0.350 NA in Sep 2001. China City Labor Market: Demand-Supply Ratio: Xi'an data remains active status in CEIC and is reported by Ministry of Human Resources and Social Security. The data is categorized under China Premium Database’s Labour Market – Table CN.GJ: City Labor Market: Demand-Supply Ratio.

The Job Openings and Labor Turnover Survey (JOLTS) program provides national estimates of rates and levels for job openings, hires, and total separations. Total separations are further broken out into quits, layoffs and discharges, and other separations. Unadjusted counts and rates of all data elements are published by supersector and select sector based on the North American Industry Classification System (NAICS). The number of unfilled jobs—used to calculate the job openings rate—is an important measure of the unmet demand for labor. With that statistic, it is possible to paint a more complete picture of the U.S. labor market than by looking solely at the unemployment rate, a measure of the excess supply of labor. Information on labor turnover is valuable in the proper analysis and interpretation of labor market developments and as a complement to the unemployment rate. For more information and data visit: https://www.bls.gov/jlt/

📊 Job Postings Data for Talent Acquisition, HR Strategy & Market Research Canaria’s Job Postings Data product is a structured, AI-enriched dataset that captures and organizes millions of job listings from leading sources such as Indeed, LinkedIn, and other recruiting platforms. Designed for decision-makers in HR, strategy, and research, this data reveals workforce demand trends, employer activity, and hiring signals across the U.S. labor market and enhanced with advanced enrichment models.

The dataset enables clients to track who is hiring, what roles are being posted, which skills are in demand, where talent is needed geographically, and how compensation and employment structures evolve over time. With field-level normalization and deep enrichment, it transforms noisy job listings into high-resolution labor intelligence—optimized for strategic planning, analytics, and recruiting effectiveness.

🧠 Use Cases: What This Job Postings Data Solves This enriched dataset empowers users to analyze workforce activity, employer behavior, and hiring trends across sectors, geographies, and job categories.

🔍 Talent Acquisition & HR Strategy • Identify hiring trends by industry, company, function, and geography • Optimize job listings and outreach with enriched skill, title, and seniority data • Detect companies expanding or shifting their workforce focus • Monitor new roles and emerging skills in real time

📈 Labor Market Research & Workforce Planning • Visualize job market activity across cities, states, and ZIP codes • Analyze hiring velocity and job volume changes as macroeconomic signals • Correlate job demand with company size, sector, or compensation structure • Study occupational dynamics using AI-normalized job titles • Use directional signals (job increases/declines) to anticipate market shifts

📊 HR Analytics & Compensation Intelligence • Map salary ranges and benefits offerings by role, location, and level • Track high-demand or hard-to-fill positions for strategic workforce planning • Support compensation planning and headcount forecasting • Feed job title normalization and metadata into internal HRIS systems • Identify talent clusters and location-based hiring inefficiencies

🌐 What Makes This Job Postings Data Unique

🧠 AI-Based Enrichment at Scale • Extracted attributes include hard skills, soft skills, certifications, and education requirements • Modeled predictions for seniority level, employment type, and remote/on-site classification • Normalized job titles using an internal taxonomy of over 50,000 unique roles • Field-level tagging ensures structured, filterable, and clean outputs

💰 Salary Parsing & Compensation Insights • Parsed salary ranges directly from job descriptions • AI-based salary predictions for postings without explicit compensation • Compensation patterns available by job title, company, and location

🔁 Deduplication & Normalization • Achieves approximately 60% deduplication rate through semantic and metadata matching • Normalizes company names, job titles, location formats, and employment attributes • Ready-to-use, analysis-grade dataset—fully structured and cleansed

🔗 Company Matching & Metadata • Each job post is linked to a structured company profile, including metadata • Records are cross-referenced with LinkedIn and Google Maps to validate company identity and geography • Enables aggregation at employer or location level for deeper insights

🕒 Freshness & Scalability • Updated hourly to reflect real-time hiring behavior and job market shifts • Delivered in flexible formats (CSV, JSON, or data feed) and customizable filters • Supports segmentation by geography, company, seniority, salary, title, and more

🎯 Who Uses Canaria’s Job Postings Data • HR & Talent Teams – to benchmark roles, optimize pipelines, and compete for talent • Consultants & Strategy Teams – to guide clients with labor-driven insights • Market Researchers – to understand employment dynamics and job creation trends • HR Tech & SaaS Platforms – to power salary tools, job market dashboards, or recruiting features • Economic Analysts & Think Tanks – to model labor activity and hiring-based economic trends • BI & Analytics Teams – to build dashboards that track demand, skill shifts, and geographic patterns

📌 Summary Canaria’s Job Postings Data provides an AI-enriched, clean, and analysis-ready view of the U.S. job market. Covering millions of listings from Indeed, LinkedIn, other job boards, and ATS sources, it includes detailed job attributes, inferred compensation, normalized titles, skill extraction, and employer metadata—all updated hourly and fully structured.

With deep enrichment, reliable deduplication, and company matchability, this dataset is purpose-built for users needing workforce insights, market trends, and strategic talent intelligence. Whether you're modeling skill gaps, benchmarking compensation, or visualizing hiring momentum, this dataset provides a complete toolkit for HR and labor intellig...

Each year a report forecasting BC's labour market needs over the coming decade is produced by the BC government. The report looks at employment supply and demand by occupation and industry for each of the province's regions. When utilizing this data, please cite as follows: Labour Market Outlook, Labour Market Information Office, Ministry of Post-Secondary Education and Future Skills, Government of British Columbia.

In 2023, Business Administration was the most sought-after university course for job offers in the Community of Madrid, accounting for nearly six percent of job vacancies requiring a university degree. Nursing came in fourth with 2.5 percent.

The Temporary Labor Market size was valued at USD 491.52 billion in 2023 and is projected to reach USD 758.81 billion by 2032, exhibiting a CAGR of 6.4 % during the forecasts period. This growth is driven by a number of factors, including the increasing demand for flexible staffing solutions, the rising cost of permanent employment, and the growing number of businesses outsourcing their HR functions. Temporary labor provides businesses with a number of advantages, including the ability to quickly and easily scale their workforce up or down, the flexibility to meet fluctuating demand, and the reduced cost of recruitment and training. Temporary labor, often referred to as temp work or temporary employment, plays a crucial role in today's workforce dynamics. It involves hiring individuals for short-term assignments, typically through agencies that specialize in staffing solutions. Temp workers provide flexibility for businesses, especially during peak seasons or special projects, without the long-term commitment of permanent hires.

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.

Temporary Labor Market size is projected to reach over USD 794.35 bn by 2032 from a value of USD 556.04 bn in 2024 and is projected to grow by USD 571.49 bn in 2025, registering a CAGR of 4.6% from 2025 to 2032.

Labor Dispatch Service Market Outlook

The global labor dispatch service market was valued at approximately USD 45 billion in 2023 and is projected to reach around USD 78 billion by 2032, growing at a compound annual growth rate (CAGR) of 6.5%. This market size expansion is primarily driven by the increasing demand for flexible workforce solutions and the rising trend of outsourcing non-core activities to specialized service providers. With companies across various industries seeking to optimize operational costs and enhance productivity, the labor dispatch service market is poised for significant growth over the forecast period.

One of the primary growth factors for the labor dispatch service market is the evolving nature of work and employment structures. As businesses face fluctuating market demands and economic uncertainties, there is a growing preference for flexible staffing solutions. Labor dispatch services offer an adaptable workforce that can be scaled up or down based on business needs, providing companies with the agility required to navigate dynamic market conditions. This shift towards more flexible employment arrangements is anticipated to continue, driving demand for labor dispatch services in the coming years.

Technological advancements also play a critical role in the expansion of the labor dispatch service market. The integration of advanced technologies such as artificial intelligence, machine learning, and big data analytics into staffing processes has revolutionized the way labor dispatch services are managed and delivered. These technologies enable more efficient matching of workers with job requirements, streamline administrative tasks, and enhance the overall effectiveness of staffing solutions. As technology continues to evolve, it is expected to further boost the growth of the labor dispatch service market by improving service quality and operational efficiency.

Another significant factor contributing to the market's growth is the increasing globalization of business operations. Companies are expanding their footprints across multiple regions, leading to a greater need for diverse and geographically dispersed workforces. Labor dispatch services facilitate this by providing access to a broader talent pool and offering localized staffing solutions that meet regional labor regulations and cultural nuances. This global expansion of businesses is likely to sustain the demand for labor dispatch services, particularly in emerging markets where economic development is creating new job opportunities.

The regional outlook for the labor dispatch service market indicates robust growth across various geographies. North America and Europe are expected to lead the market due to their well-established industrial bases and high adoption of flexible staffing solutions. The Asia Pacific region is projected to exhibit the highest growth rate, driven by rapid industrialization, economic development, and a large labor force. Latin America and the Middle East & Africa are also anticipated to experience steady growth, supported by ongoing infrastructure projects and increasing foreign investments. Each region's unique economic conditions and labor market dynamics will shape the specific growth trajectories within the global labor dispatch service market.

Service Type Analysis

The labor dispatch service market is segmented by service type into temporary staffing, long-term contract staffing, project-based staffing, and others. Temporary staffing is one of the most prominent segments, driven by the need for short-term workforce solutions to address seasonal demands, peak workloads, and special projects. Temporary staffing provides businesses with the flexibility to manage their workforce dynamically, responding quickly to changing market conditions without the long-term commitments associated with permanent hires. This segment is expected to maintain strong growth due to its inherent advantages in terms of cost-effectiveness and operational flexibility.

Long-term contract staffing, another critical segment, involves the placement of workers for extended periods, often spanning several months to years, based on specific contract durations. This segment caters to industries where there is a need for sustained workforce support, such as manufacturing, healthcare, and IT. The stability and continuity offered by long-term contract staffing make it an attractive option for businesses seeking to maintain

Techsalerator’s Job Openings Data in Europe is a robust and meticulously curated dataset designed to provide businesses, recruiters, labor market analysts, and job seekers with a comprehensive view of employment opportunities across the 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 in Europe.

Key Features of the Dataset: Comprehensive Coverage:

The dataset captures job postings from numerous sources, including company career pages, job boards, recruitment agencies, and professional networking sites. This broad coverage ensures that the dataset includes job opportunities across various platforms and channels. Daily Aggregation:

Data is updated daily, providing users with real-time insights into the job market. This frequent updating ensures that the information is current and reflects the latest trends and changes in job availability. Sector-Specific Insights:

Job postings are categorized by industry sectors such as technology, healthcare, finance, education, manufacturing, and more. This categorization helps users analyze job market trends specific to different sectors and industries. Regional Breakdown:

The dataset includes detailed information on job openings across different regions and cities in Europe. This regional breakdown allows users to understand job market dynamics and opportunities in various geographic locations. Role and Skill Analysis:

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

Users can access data on the companies posting job openings, including company names, industries, and locations. This information is useful for understanding which companies are hiring and where the demand for talent is concentrated. Historical Data:

The dataset may include historical job posting data, enabling trend analysis and comparative studies over time. This feature allows users to track changes in job market demand and employment trends. EU Countries Covered: Austria Belgium Bulgaria Croatia Cyprus Czech Republic Denmark Estonia Finland France Germany Greece Hungary Ireland Italy Latvia Lithuania Luxembourg Malta Netherlands Poland Portugal Romania Slovakia Slovenia Spain Sweden Benefits of the Dataset: Enhanced Recruitment Strategies: Recruiters and HR professionals can use the dataset to identify trends in job postings, understand competitive hiring practices, and optimize their recruitment strategies based on current market conditions. Labor Market Analysis: Analysts and policymakers can leverage the data to study labor market trends, identify skill gaps, and evaluate employment opportunities across different regions and sectors. Job Seeker Support: Job seekers can access a comprehensive list of job openings, tailored to their skills and preferred locations, facilitating a more efficient and targeted job search process. Strategic Workforce Planning: Companies can gain insights into the availability of talent in various regions, helping them make informed decisions about expanding operations or setting up new offices. Techsalerator’s Job Openings Data in Europe provides a crucial resource for understanding the dynamic European job market. By offering detailed, up-to-date information on job postings across multiple sectors and regions, it supports effective decision-making for businesses, job seekers, and market analysts alike.

The statistics in this table are published quarterly. To smooth seasonal effects, each quarter refers to the online job advertisements published during that quarter and the three preceding quarters (e.g. data points for TIME=2023-Q3 refer to the period from Q4 2022 to Q3 2023).

City Labor Market: Demand-Supply Ratio: Shanghai data was reported at 2.160 NA in Sep 2021. This records an increase from the previous number of 2.070 NA for Jun 2021. City Labor Market: Demand-Supply Ratio: Shanghai data is updated quarterly, averaging 1.020 NA from Dec 2003 (Median) to Sep 2021, with 71 observations. The data reached an all-time high of 2.160 NA in Sep 2021 and a record low of 0.710 NA in Jun 2004. City Labor Market: Demand-Supply Ratio: Shanghai data remains active status in CEIC and is reported by Ministry of Human Resources and Social Security. The data is categorized under China Premium Database’s Labour Market – Table CN.GJ: City Labor Market: Demand-Supply Ratio.