# United States All employees, thousands, claims adjusting, seasonally adjusted

United States All employees, thousands, claims adjusting, seasonally adjusted was down 15.7% year on year in September 2026, compared with −18.5% in August 2026.
The level stood at 49.50 thousands.
Over the past ten years it has ranged from −22.0% (Apr 2026) to 12.7% (Feb 2022), averaging −0.7%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.EMP.M.SA.IND-55524291`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-thousands-claims-adjusting-seasonally-adjusted

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 49.50 thousands | −15.7 |
| August 2026 | 49.80 thousands | −18.5 |
| July 2026 | 49.70 thousands | −21.4 |
| June 2026 | 50.60 thousands | −19.7 |
| May 2026 | 50.70 thousands | −21.4 |
| April 2026 | 50.60 thousands | −22.0 |
| March 2026 | 50.70 thousands | −21.0 |
| February 2026 | 51.60 thousands | −20.1 |
| January 2026 | 51.40 thousands | −20.3 |
| December 2025 | 52.10 thousands | −18.0 |
| November 2025 | 53.70 thousands | −15.7 |
| October 2025 | 56.10 thousands | −9.2 |
| September 2025 | 58.70 thousands | −0.2 |
| August 2025 | 61.10 thousands | 1.5 |
| July 2025 | 63.20 thousands | 5.0 |
| June 2025 | 63.00 thousands | 5.5 |
| May 2025 | 64.50 thousands | 11.0 |
| April 2025 | 64.90 thousands | 12.5 |
| March 2025 | 64.20 thousands | 5.9 |
| February 2025 | 64.60 thousands | 4.0 |
| January 2025 | 64.50 thousands | 6.4 |
| December 2024 | 63.50 thousands | 3.1 |
| November 2024 | 63.70 thousands | 4.1 |
| October 2024 | 61.80 thousands | −1.0 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-55524291"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-55524291",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```