# United States All employees, thousands, claims adjusting, not seasonally adjusted

United States All employees, thousands, claims adjusting, not seasonally adjusted was down 15.0% year on year in September 2026, compared with −18.2% in August 2026.
The level stood at 50.90 thousands.
Over the past ten years it has ranged from −22.2% (Apr 2026) to 13.1% (Feb 2022), averaging −0.7%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.EMP.M.NSA.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-not-seasonally-adjusted

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 50.90 thousands | −15.0 |
| August 2026 | 50.90 thousands | −18.2 |
| July 2026 | 49.70 thousands | −22.1 |
| June 2026 | 50.70 thousands | −19.3 |
| May 2026 | 50.70 thousands | −20.5 |
| April 2026 | 49.90 thousands | −22.2 |
| March 2026 | 49.30 thousands | −21.9 |
| February 2026 | 50.30 thousands | −20.5 |
| January 2026 | 49.30 thousands | −21.4 |
| December 2025 | 51.90 thousands | −18.8 |
| November 2025 | 54.60 thousands | −16.5 |
| October 2025 | 56.90 thousands | −10.5 |
| September 2025 | 59.90 thousands | −0.7 |
| August 2025 | 62.20 thousands | 1.3 |
| July 2025 | 63.80 thousands | 5.3 |
| June 2025 | 62.80 thousands | 5.9 |
| May 2025 | 63.80 thousands | 11.0 |
| April 2025 | 64.10 thousands | 12.7 |
| March 2025 | 63.10 thousands | 6.2 |
| February 2025 | 63.30 thousands | 5.3 |
| January 2025 | 62.70 thousands | 5.2 |
| December 2024 | 63.90 thousands | 2.9 |
| November 2024 | 65.40 thousands | 3.5 |
| October 2024 | 63.60 thousands | −1.1 |

## API

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

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