# United States All employees, thousands, other accounting services, not seasonally adjusted

United States All employees, thousands, other accounting services, not seasonally adjusted was up 1.0% year on year in September 2026, compared with 1.4% in August 2026.
The level stood at 279.3 thousands.
Over the past ten years it has ranged from −8.8% (Apr 2020) to 12.3% (Apr 2021), averaging 1.2%.

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

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 279.3 thousands | 1.0 |
| August 2026 | 280.2 thousands | 1.4 |
| July 2026 | 279.3 thousands | 1.2 |
| June 2026 | 282.3 thousands | 1.8 |
| May 2026 | 281.5 thousands | −0.5 |
| April 2026 | 288.6 thousands | −0.3 |
| March 2026 | 288.4 thousands | −1.4 |
| February 2026 | 288.0 thousands | −0.5 |
| January 2026 | 280.0 thousands | −0.04 |
| December 2025 | 278.3 thousands | −0.3 |
| November 2025 | 278.9 thousands | 0.5 |
| October 2025 | 280.1 thousands | 1.7 |
| September 2025 | 276.5 thousands | 0.4 |
| August 2025 | 276.2 thousands | 0.3 |
| July 2025 | 275.9 thousands | −0.3 |
| June 2025 | 277.3 thousands | −0.7 |
| May 2025 | 282.9 thousands | −0.5 |
| April 2025 | 289.6 thousands | −2.1 |
| March 2025 | 292.6 thousands | −0.7 |
| February 2025 | 289.5 thousands | −1.1 |
| January 2025 | 280.1 thousands | −1.5 |
| December 2024 | 279.2 thousands | −1.3 |
| November 2024 | 277.4 thousands | −1.0 |
| October 2024 | 275.5 thousands | −2.6 |

## API

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

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