Job Market Data - RAW

**Overview**:

This dataset includes historical data back to 2007 collected directly from employer websites. The dataset is updated daily and tracks when new jobs are added and when they are removed.

Tables included:
- Job records
- Job descriptions
- Point-in-time company reference
- Company analytics
- Ticker analytics
- Additional reference data and identifiers

**Use cases**:

**Quantitative Analysis**
Many of the world’s largest and most successful systematic hedge funds use LinkUp’s proprietary data to generate excess returns.

Job listings and, conversely, removals have been demonstrated to be a high-frequency indicator of overall company performance and forward-looking employer plans for their workforce needs.

When correlating LinkUp job listing data to portfolio performance, Refinitiv analysts found that portfolios with stocks in the top quintile of job signals outperformed the benchmark compared to other portfolios with stocks in the bottom quintile.

**Fundamental Analysis**
Because job listings indicate a company’s intent to hire, incorporating real-time job listing data into predictive models may increase visibility into a company’s future performance.

LinkUp’s data can offer insight into fundamental drivers such as same-store sales and new product development or new strategic initiatives or business lines. On the other side, LinkUp’s data has been used to get ahead of bankruptcies and analyst downgrades.

Examples:
$HNNMY: When comparing active job listing counts with same-store sales for H&M across time, you can observe a strong relationship between changes in active job listings and trends in same-store sales.
$MGM: Back in early 2020, when others were decreasing hiring, MGM bet big on iGaming, and LinkUp observed a massive spike in job listings for those types of occupations, before BetMGM was announced in late 2020.

**Macro Analysis**
LinkUp’s data is highly correlated with, and predictive of, JOLTS and NFP numbers. We publish our JOLTS and NFP predictions a month before the BLS releases its numbers. Our data has also been used in CPI forecasts and also economic forecasts.

Our data can help understand trends across geography, industries, and occupations. By filtering our data by the geographic labels included in job listings, we can track how labor demand has changed over time at the state level or compare local labor markets in real-time.

LinkUp’s unique job listing data can provide a glimpse into labor demand at both the macro and micro levels. Organizing job listings according to the North American Industry Classification System (NAICS) categories, for example, allows for increased visibility into which industries are driving job growth or how labor demand is distributed across the economy.

**Economic Impact Analysis**
Our data capture how the labor landscapes of cities and states are changing, generating data-driven insights into which cities may be showing promising growth in a particular industry or occupation, or which states may be showing signs of a slump.

**Market Analysis**
LinkUp delivers leading talent management and corporate intelligence solutions. Our data helps corporations and consultants with:

- Competitive intelligence
- Supply chain sourcing and monitoring
- Workforce planning and development
- Talent intelligence
- People Analytics
- Real estate (site selection, population mapping)

**Staffing**
Updated daily, our custom feeds can be leveraged for both strategic and tactical uses:
- Assessing and predicting labor demand, growth, and decline
- Identify real-time opportunities by tracking changes at the location, company, and
industry level
- Create powerful competitive intelligence analyses
- Provide high-quality job content to users with no redirects or sign-ups
- Increase your company’s SEO & SEM efforts

Because our job listings come directly from company websites, our job feeds provide optimized user experiences, better page ranking, and click-through rates, and help to mitigate bias in job listings commonly found in feeds hosted by third-parties.

**Product details**:
- Historical start date: 2007
- Total Historical Job Count: 230,000,000
- Monthly Active Job Count (12 month range low to high): 7,000,000 - 10,000,000
- Countries: 195
- Companies: 60,000
- Tickers: 6,000
- Sectors and Industries: All
- Unique Job Attributes: 14
- Unique Company Attributes: 17