# United States All employees, thousands, couriers and messengers, not seasonally adjusted

United States All employees, thousands, couriers and messengers, not seasonally adjusted was up 3.0% year on year in October 2026, compared with 0.5% in September 2026.
The level stood at 1,095.9 thousands.
That is the highest reading since March 2025.
Over the past ten years it has ranged from −8.9% (Feb 2026) to 27.2% (Nov 2020), averaging 5.7%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.EMP.M.NSA.IND-43492000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-10-01 (442 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-thousands-couriers-and-messengers-not-seasonally-adjusted

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| October 2026 | 1,095.9 thousands | 3.0 |
| September 2026 | 1,038.9 thousands | 0.5 |
| August 2026 | 1,031.0 thousands | 0.5 |
| July 2026 | 1,040.2 thousands | 2.4 |
| June 2026 | 1,025.8 thousands | −0.3 |
| May 2026 | 1,027.1 thousands | 1.7 |
| April 2026 | 1,022.5 thousands | 2.1 |
| March 2026 | 1,022.3 thousands | −4.5 |
| February 2026 | 1,036.5 thousands | −8.9 |
| January 2026 | 1,158.9 thousands | −0.1 |
| December 2025 | 1,309.2 thousands | −3.8 |
| November 2025 | 1,165.1 thousands | −2.3 |
| October 2025 | 1,064.3 thousands | 0.5 |
| September 2025 | 1,034.0 thousands | −0.9 |
| August 2025 | 1,026.0 thousands | 0.9 |
| July 2025 | 1,015.5 thousands | 0.3 |
| June 2025 | 1,028.4 thousands | 0.02 |
| May 2025 | 1,010.4 thousands | −0.7 |
| April 2025 | 1,001.1 thousands | −0.8 |
| March 2025 | 1,070.7 thousands | 3.3 |
| February 2025 | 1,137.6 thousands | 7.5 |
| January 2025 | 1,160.2 thousands | 6.5 |
| December 2024 | 1,360.9 thousands | 4.3 |
| November 2024 | 1,192.9 thousands | −1.7 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.EMP.M.NSA.IND-43492000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US.EMP.M.NSA.IND-43492000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```
