Our Data Methodology

The primary data source for Jobs Jobs Jobs is the Adzuna Job Search API, which aggregates live job listings from various job boards and employer websites. This API provides a robust and diverse dataset covering 166 cities across the United States. Our platform updates its data on a rolling nightly cycle to ensure users have access to the most current job listings and salary information. Each city and job title combination is revisited within a 21-day window to refresh the statistics, ensuring that our data remains relevant and reflective of current market conditions.

Our salary statistics are derived using a weighted histogram percentile method, focusing on five key percentiles: P10, P25, P50, P75, and P90. This approach allows us to present a detailed distribution of salaries, offering users insights into typical earnings as well as outlier compensation. To calculate the average salary, we employ a trimmed mean method, considering only the data within the P10 to P90 range. This technique helps mitigate the impact of extreme outliers, providing a more stable and representative average than the traditional arithmetic mean. In cases where the data distribution is highly skewed, we apply the Tukey IQR method as a fallback to ensure robustness.

The demand signal on Jobs Jobs Jobs categorizes job demand into High, Medium, and Low levels, relative to the national average. This signal is computed by analyzing the volume of job postings for each title and city combination, compared to historical trends and national averages. A 'High' demand indicates a significantly greater number of job listings than average, suggesting strong employer interest, while 'Low' suggests fewer opportunities relative to expectations.

Our data does not capture certain compensation elements such as remote work premiums, equity compensation, or signing bonuses. Additionally, regional cost of living variations are not factored into our salary calculations, which may affect the applicability of our data for cost-adjusted comparisons. While we strive for timeliness, there is an inherent data lag due to our 21-day refresh cycle, which users should consider when interpreting trends.

To cite data from Jobs Jobs Jobs in academic or professional contexts, please use the following format: 'Jobs Jobs Jobs. (Year). Title of the Page. Retrieved from URL'. For any press inquiries or further assistance, please contact our media relations team at press@jobsjobsjobsapp.com.

How often is the salary data updated?

The salary data is updated on a nightly cycle, with each city and job title combination being refreshed within a 21-day window to ensure current and relevant information.

Where does the salary data come from?

The salary data is sourced from the Adzuna Job Search API, which aggregates job listings from multiple job boards and employer websites.

Why does the displayed average differ from what I see on other sites?

Our displayed averages use a trimmed mean method, which excludes extreme outliers by considering only the data within the P10 to P90 range, offering a more stable and representative average compared to the arithmetic mean.

Does the data include remote jobs?

Our data includes remote job listings; however, specific remote work premiums are not separately identified or factored into our salary calculations.