Datastam Hiring & Workforce Intelligence Report 2026 Comprehensive Insights into Recruitment Trends, Candidate Behavior, and Job Market Performance

By abhishek.verma75000 · May 24, 2026

Datastam conducted an extensive analysis of 6,328 job postings to evaluate hiring patterns, applicant engagement, employment preferences, geographic…

Associate-level positions receive the most applications per posting, averaging 24.8 applications across 613 job postings. A bar chart has been generated showing the full ranking of all experience levels by their average application count, making it easy to compare how different levels attract applicants.

The analysis reveals which job locations have the most postings and highest applicant interest. Two bar charts were generated showing the top 15 locations by postings and by total applies. The United States (broad/remote) dominates both categories with 419 postings and 31,339 total applies — far ahead of any specific city. New York, NY is the top city with 293 postings and 6,456 applies, followed by Los Angeles, CA and San Francisco, CA.

Two bar charts and supporting tables were generated to break down job postings and applicant engagement by work type. Full-time is the overwhelmingly dominant work type, accounting for 83.2% of all postings (5,266 out of ~6,330 total jobs). However, when it comes to applicant engagement, Contract roles lead with an average of 26.84 applies per posting — significantly outpacing Full-time. This reveals a clear gap between posting volume and applicant interest across work types.

The analysis produced three visualizations comparing job domains by average applications and views. A horizontal bar chart shows the top 15 job domains ranked by average applications, a second chart ranks them by average views, and a bubble scatter plot combines both metrics — with bubble size representing the number of job listings per domain — letting you spot which domains attract both high interest and high engagement simultaneously.

Remote-allowed jobs significantly outperform non-remote jobs in both applications and views, even though they represent a much smaller share of total postings. Two charts and summary tables were generated to illustrate these differences clearly.

Sponsored jobs do receive slightly more views and applications than non-sponsored jobs, but the difference is modest rather than dramatic. Sponsored jobs average 84 views and 16.9 applications, compared to 72.6 views and 14.6 applications for non-sponsored jobs — about a 16% boost in both metrics. Two visualizations were generated: a grouped bar chart comparing average views and applications side-by-side, and a box plot showing the full distribution of views on a log scale.

The analysis successfully identified the top 15 most active hiring companies by job posting count. A horizontal bar chart was generated showing each company's posting volume, with bars annotated by their dominant job domain. Additional data tables provide engagement metrics including average views, average applies, sponsorship rates, and most common job domains for each company.

The analysis successfully cleaned the compensation data and generated visualizations breaking down median compensation by pay period (YEARLY, HOURLY, MONTHLY) and job domain. Two bar charts were created: one showing median compensation across pay periods, and a grouped bar chart comparing median compensation across both pay periods and job domains simultaneously. Data tables were also produced summarizing the statistics for each group.

The analysis compared job posting performance across different experience levels and work types. Two heatmaps were created — one showing average views and another showing average applies for each level + work type combination — along with a bar chart ranking the top 5 combinations by an engagement score (views + applies × 10). These visualizations reveal which pairings attract the most job seeker attention.

The analysis of 6,328 job listings reveals an extremely skewed distribution of applications. Two visualizations were generated: a log-scale histogram showing the full distribution with key statistical markers, and a bar chart of the top 15 viral job postings. The typical job posting receives just 2 applications (median), while the average is pulled up to 15.3 by a small number of viral outliers — a classic sign of a power-law distribution. A striking 39.3% of listings received zero applications at all, and 75% of postings received 11 or fewer. Only 188 postings (2.97%) qualify as 'viral' by exceeding the 2-standard-deviation threshold of ~106 applications, yet the top posting alone attracted 1,420 applicants — 710× the median. The log-scale histogram makes this extreme spread visible, while the top-15 bar chart highlights the standout viral listings.

The sentiment analysis of the 'description' column reveals an overwhelmingly positive tone across the dataset. Out of 6,328 total records, the vast majority express positive sentiment, with very few negative entries. A bar chart has been generated showing the sentiment distribution across all three categories.

A word cloud has been generated from the 'description' column of your dataset. The visualization displays the most frequently occurring words, with larger text indicating higher frequency terms.