# United States All employees, thousands, specialized design services, seasonally adjusted

United States All employees, thousands, specialized design services, seasonally adjusted was up 2.7% year on year in October 2026, compared with 3.6% in September 2026.
The level stood at 151.3 thousands.
Over the past ten years it has ranged from −13.8% (May 2020) to 12.9% (May 2021), averaging 0.9%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.EMP.M.SA.IND-60541400`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-10-01 (442 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-thousands-specialized-design-services-seasonally-adjusted

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| October 2026 | 151.3 thousands | 2.7 |
| September 2026 | 153.1 thousands | 3.6 |
| August 2026 | 151.2 thousands | 1.7 |
| July 2026 | 151.0 thousands | 1.7 |
| June 2026 | 150.7 thousands | 1.9 |
| May 2026 | 149.4 thousands | 1.2 |
| April 2026 | 149.4 thousands | 1.9 |
| March 2026 | 150.3 thousands | 1.3 |
| February 2026 | 148.9 thousands | 0.7 |
| January 2026 | 148.8 thousands | 0.0 |
| December 2025 | 148.1 thousands | −1.3 |
| November 2025 | 148.8 thousands | −1.9 |
| October 2025 | 147.3 thousands | −2.3 |
| September 2025 | 147.8 thousands | −1.0 |
| August 2025 | 148.7 thousands | −0.3 |
| July 2025 | 148.5 thousands | −0.6 |
| June 2025 | 147.9 thousands | −0.9 |
| May 2025 | 147.7 thousands | −1.5 |
| April 2025 | 146.6 thousands | −3.1 |
| March 2025 | 148.3 thousands | −2.1 |
| February 2025 | 147.8 thousands | −3.1 |
| January 2025 | 148.8 thousands | −3.4 |
| December 2024 | 150.0 thousands | −1.4 |
| November 2024 | 151.7 thousands | −0.07 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-60541400"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-60541400",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```