US Salary Dataset 113 Roles × 30 Cities
The US Salary Dataset 113 Roles x 30 Cities is a collection of salary data that covers many different job titles across thirty major American cities. This dataset helps people understand how much money different jobs pay in specific locations. It is designed for job seekers, recruiters, and anyone interested in the labor market. The data includes information on over one hundred thirteen distinct roles, allowing for a broad view of compensation trends.
Benefits
This tool provides clear insights into wage variations based on geography and profession. Users can compare salaries between cities to make informed decisions about where to live or work. It also helps employers set competitive pay scales by showing what others in the same field earn in their area. The data is structured to be easy to read and analyze, making it useful for both quick checks and deep research. It removes guesswork from salary negotiations and career planning.
Use Cases
Job seekers can use this dataset to research potential offers and negotiate better pay. Recruiters and hiring managers can use it to create fair and attractive job descriptions. Career counselors can help clients understand the financial reality of different career paths in various regions. Analysts can use the data to study economic trends and the cost of living relative to income. It is particularly useful for people moving to a new city or considering a career change.
Pricing
The dataset is available for purchase on Gumroad. Specific pricing tiers or costs are not detailed in the available information, so users should visit the seller's page to check the current price.
Vibes
There are no specific reviews, testimonials, or public reception details available for this product at this time. The community reception is not documented in the provided sources.
Additional Information
No information regarding funding, partnerships, or notable achievements for this dataset is currently available. The creator is listed as dreadstallion on Gumroad, but further background on the organization or funding sources is not present in the source material.
This content is either user submitted or generated using AI technology (including, but not limited to, Google Gemini API, Llama, Grok, and Mistral), based on automated research and analysis of public data sources from search engines like DuckDuckGo, Google Search, and SearXNG, and directly from the tool's own website and with minimal to no human editing/review. THEJO AI is not affiliated with or endorsed by the AI tools or services mentioned. This is provided for informational and reference purposes only, is not an endorsement or official advice, and may contain inaccuracies or biases. Please verify details with original sources.
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