# United States All employees, thousands, logging, seasonally adjusted

United States All employees, thousands, logging, seasonally adjusted was up 1.3% year on year in October 2026, compared with 1.3% in September 2026.
The level stood at 39.10 thousands.
That is the highest reading since June 2025.
Over the past ten years it has ranged from −12.5% (Jun 2024) to 4.9% (Jun 2025), averaging −2.8%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.EMP.M.SA.IND-10113300`
- Frequency: monthly
- Units: thousands
- Coverage: 1947-01-01 to 2026-10-01 (958 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-thousands-logging-seasonally-adjusted

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| October 2026 | 39.10 thousands | 1.3 |
| September 2026 | 39.50 thousands | 1.3 |
| August 2026 | 39.30 thousands | −0.8 |
| July 2026 | 39.10 thousands | −2.0 |
| June 2026 | 38.60 thousands | −5.9 |
| May 2026 | 38.80 thousands | −6.3 |
| April 2026 | 39.10 thousands | −6.2 |
| March 2026 | 37.80 thousands | −8.3 |
| February 2026 | 36.70 thousands | −11.4 |
| January 2026 | 37.10 thousands | −9.5 |
| December 2025 | 37.60 thousands | −8.1 |
| November 2025 | 38.00 thousands | −6.6 |
| October 2025 | 38.60 thousands | −4.9 |
| September 2025 | 39.00 thousands | −3.5 |
| August 2025 | 39.60 thousands | −0.8 |
| July 2025 | 39.90 thousands | −0.3 |
| June 2025 | 41.00 thousands | 4.9 |
| May 2025 | 41.40 thousands | 3.8 |
| April 2025 | 41.70 thousands | 0.2 |
| March 2025 | 41.20 thousands | −3.3 |
| February 2025 | 41.40 thousands | −1.7 |
| January 2025 | 41.00 thousands | −3.1 |
| December 2024 | 40.90 thousands | −4.9 |
| November 2024 | 40.70 thousands | −7.3 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-10113300"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-10113300",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```