# United States All employees, thousands, other accounting services, seasonally adjusted

United States All employees, thousands, other accounting services, seasonally adjusted was up 0.6% year on year in September 2026, compared with 0.9% in August 2026.
The level stood at 284.1 thousands.
Over the past ten years it has ranged from −8.5% (Apr 2020) to 12.9% (Apr 2021), averaging 1.2%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.EMP.M.SA.IND-60541219`
- 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-other-accounting-services-seasonally-adjusted

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 284.1 thousands | 0.6 |
| August 2026 | 284.0 thousands | 0.9 |
| July 2026 | 283.3 thousands | 1.1 |
| June 2026 | 284.9 thousands | 1.6 |
| May 2026 | 282.2 thousands | 0.1 |
| April 2026 | 281.1 thousands | 0.4 |
| March 2026 | 278.9 thousands | −1.2 |
| February 2026 | 280.4 thousands | −0.5 |
| January 2026 | 280.7 thousands | 0.0 |
| December 2025 | 280.6 thousands | −0.3 |
| November 2025 | 282.5 thousands | 0.2 |
| October 2025 | 283.7 thousands | 1.8 |
| September 2025 | 282.5 thousands | 0.4 |
| August 2025 | 281.6 thousands | 0.4 |
| July 2025 | 280.2 thousands | −0.2 |
| June 2025 | 280.3 thousands | −0.7 |
| May 2025 | 281.8 thousands | −0.5 |
| April 2025 | 280.0 thousands | −2.2 |
| March 2025 | 282.3 thousands | −0.7 |
| February 2025 | 281.7 thousands | −0.9 |
| January 2025 | 280.7 thousands | −1.5 |
| December 2024 | 281.4 thousands | −1.3 |
| November 2024 | 281.8 thousands | −1.0 |
| October 2024 | 278.8 thousands | −2.6 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-60541219"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-60541219",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```