This Dashboard highlights how the labor force has shifted across major demographic groups from 2004 to 2034. White workers remain the largest segment, but Black, Hispanic, and other non-Hispanic groups show steady growth, with Hispanic workers rising the fastest. Overall, the data points to a diversifying workforce and increasing contributions from historically smaller groups. Click here for the BLS Labor Force Table
Current Time: 01:51 AM EST
Date
2025-12-04
Max Labor Force
135215
Min Labor Force
16640
Fastest Growth Group
Hispanic origin,16 years and older
Top Skills for Highly Employed Occupations
Projected employment levels and growth from 2024 to 2034 for selected fast-growing U.S. occupations, showing current employment, anticipated future employment, and the expected numeric change in thousands.
Top, second, and third most important skill categories among the fastest-growing U.S. occupations
The plot shows that men are in the labor force in higher numbers than women at every age. Their participation is highest between ages 25 and 54, when most men are working full-time. After age 55, the number of men working starts to go down, but men still stay in the workforce longer than women, even into older ages. The plot shows Women participate a lot in the labor force, especially between ages 25 and 54, but their numbers are always a bit lower than men’s. After age 55, the number of women working drops more quickly, and fewer women continue working into older age. Overall, women are a strong part of the workforce, just at slightly lower levels across all ages. Click here for the BLS Labor Force Table
Max Labor Force for Men
59502
Max Labor Force for Women
53427
This visualization compares job openings across 10 major industries between January 2015 and January 2025, showing how demand for workers has shifted over the past decade. Education and Health Services, Professional and Business Services, and Trade Transportation and Utilities experienced the largest increases, reflecting growth in healthcare, knowledge-based services, and logistics sectors. In contrast, Construction and Other Services saw more modest gains. The dumbbell chart clearly illustrates which industries are expanding their workforce needs and which remain relatively stable.
Fastest Growing Industry
Education and Health Services
Largest Growth (Thousands)
652
Average Growth Across Industries
230
| Metric | Value |
|---|---|
| Avg. projected growth in AI-related occupations (2024–2034) | 21.80 |
| Change in AI-intensive job openings (2020–2025, %) | 9.50 |
| Change in non-AI job openings (2020–2025, %) | 18.50 |
| Net AI Impact Ratio | 1.18 |
| Metric | Value |
|---|---|
| Avg. projected growth in AI-related occupations (2024–2034) | 21.80 |
| Change in AI-intensive job openings (2020–2025, %) | 9.50 |
| Change in non-AI job openings (2020–2025, %) | 18.50 |
| Net AI Impact Ratio (AI growth ÷ |non-AI losses|) | 1.18 |
AI-related occupations are projected to grow substantially faster than the average U.S. job category, with strong long-term demand for data-driven and technical skills. From 2020 to 2025, AI-intensive industries such as Professional & Technical Services expanded job openings, while non-AI sectors also experienced moderate growth. When comparing occupational growth to shifts in job openings, the Net AI Impact Ratio shows that projected growth in AI roles is several times larger than changes in non-AI openings—indicating that AI adoption is contributing more to creating new specialized roles than to reducing job availability in the broader workforce.
Source links to data: (https://www.bls.gov/emp/tables/top-skills-for-fastest-growing-occupations.htm){target=“_blank”} (https://www.bls.gov/jlt/data.htm){target=“_blank”}
This dashboard was created using Quarto in RStudio, and the R Language and Environment.
The datasets used to create this dashboard were downloaded from The Bureau of Labor Statistics
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